# Labelbox Reviews **Vendor:** Labelbox **Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 48 ## About Labelbox Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Databricks Ventures. ## Labelbox Pros & Cons **What users like:** - Users appreciate the **ease of use** of Labelbox, benefiting from its intuitive interface and efficient tools. (9 reviews) - Users appreciate the **intuitive interface and customizable tools** of Labelbox for efficient data labeling in AI/ML projects. (6 reviews) - Users value the **efficiency** of Labelbox, streamlining project management and data training with ease. (6 reviews) - Users commend Labelbox for its **robust AI capabilities** , simplifying complex tasks and enhancing collaborative data annotation processes. (5 reviews) - Users find **easy integrations** with Labelbox beneficial, enabling smooth setup and support for various data types. (5 reviews) - Users appreciate the **robust features** of Labelbox, enhancing efficiency in data preparation and AI model training. (5 reviews) - Users value the **efficient data management** capabilities of Labelbox, greatly enhancing their AI and ML project workflows. (4 reviews) - Quality (4 reviews) - User Interface (4 reviews) - AI Modeling (3 reviews) **What users dislike:** - Users find the **lack of features** in Labelbox limits their project engagement and customization options. (3 reviews) - Users report **slow performance** when processing large datasets, impacting overall user experience and visualization speed. (3 reviews) - Users find **difficult learning** curve due to complex tools and slower processing with large datasets in Labelbox. (2 reviews) - Users find the **cost prohibitive** , especially small-scale users who may struggle with the price despite great features. (2 reviews) - Users experience **slow processing** in Labelbox, causing delays and frustration in starting their projects effectively. (2 reviews) - Complexity (1 reviews) - Dashboard Limitations (1 reviews) - Data Management Issues (1 reviews) - Labeling Issues (1 reviews) - Lack of Tools (1 reviews) ## Labelbox Reviews ### 1. Professional Interface, Simple Setup, Needs Data Update **Rating:** 4.0/5.0 stars **Reviewed by:** Ashish S. | Independent Contractor, Enterprise (> 1000 emp.) **Reviewed Date:** April 14, 2026 **What do you like best about Labelbox?** I like the interface of Labelbox because it looks very professional, and it's simple and effective as a tool to work on. It helps me work smoothly and fits well with our flow. The interface doesn't have unnecessary details that could disturb the user while doing its work, which I really appreciate. The dark theme is a feature I like; it really helps me when I'm working, and it feels valuable for my projects. It has all the necessary tools that help me work on the project very well, contributing to the quality of my work. **What do you dislike about Labelbox?** Sometimes, when I'm working on a project and I see the data on Labelbox, it looks like something is wrong with the data or that it is not the latest. It might be expired or need updating. I like to have data that is current, so sometimes I get confused. **What problems is Labelbox solving and how is that benefiting you?** Labelbox helps me work smoothly with its simple, effective interface and necessary tools for data labeling, enabling professional quality work. ### 2. LLM Training at it’s finest! **Rating:** 4.5/5.0 stars **Reviewed by:** Staci T. | AI Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Labelbox?** Labelbox is a great LLM Training Platform for both project managers and data trainers. Work through all phases of your project from planning to reviewing, pre/ to post/! Lay out tasks for trainers and notify them they have work. If you need to train data this site help help you plan and document your project making that stakeholder meeting a lot less intimidating. **What do you dislike about Labelbox?** The trainer can only claim 2 project tasks at a time, I would like to see it more in the lines of five. 2 just seems like nothing when there is not enough tasks to go around, because they have too many trainers on one project, and then that week your only getting paid for 2 tasks. It’s like they expect their trainers to be on stand-by at all times but expect them to be living off of less than the bare minimum. **What problems is Labelbox solving and how is that benefiting you?** They are making it easier for companies to initiate projects for training their respective AI algorithms. Creating jobs and opportunities for many data science students. ### 3. Streamlined Workspace, Instant Access **Rating:** 5.0/5.0 stars **Reviewed by:** Karen C. | Insurance Guide, Enterprise (> 1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Labelbox?** I love how easy Labelbox is to set up; it was super simple with no issues. I appreciate that everything is conveniently accessible right after signing in, making my work smoother. The ability to track my time and view my ratings instantly is fantastic and keeps me organized. **What do you dislike about Labelbox?** I don't like that there are projects available but no data rows for me to work on. This limits my ability to complete tasks within the platform. **What problems is Labelbox solving and how is that benefiting you?** Labelbox simplifies job execution by having everything accessible in one place, making tasks straightforward with just a click. It efficiently tracks my time and allows easy access to current project statuses and personal ratings. ### 4. Efficient and user-friendly platform for AI training data labeling **Rating:** 5.0/5.0 stars **Reviewed by:** Usama J. | Tasker, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Labelbox?** Labelbox provides a clean and intuitive interface for annotating images and datasets. It supports various data formats and offers customizable labeling tools, which are ideal for academic AI/ML projects. The ability to collaborate in real-time with team members is also a big plus. **What do you dislike about Labelbox?** The platform speeds up the data labeling process through smart tools and automation features like model-assisted labeling. It's easy to manage large datasets and assign tasks to team members, which is helpful for class or research projects involving machine learning models. **What problems is Labelbox solving and how is that benefiting you?** Labelbox solves the problem of organizing and labeling large datasets efficiently for machine learning projects. It provides a centralized platform where I can annotate images, manage data, and collaborate with others. This helps reduce time spent on manual labeling and improves the quality of training data for my AI models. ### 5. Currently Waiting For A Project **Rating:** 2.5/5.0 stars **Reviewed by:** Jack M. | Remote Math Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** March 03, 2025 **What do you like best about Labelbox?** I like how Labelbox is an opportunity to showcase the skills I learned throughout my college career by training AI models to be the best quality possible. Additionally, the UI was simple to navigate and the support team was very helpful in getting my account set up. **What do you dislike about Labelbox?** I do not like how long it is to await my first project. I signed my contract with Labelbox two months ago and I have not received a single project yet. Hopefully, I get one soon so I can showcase my skills. **What problems is Labelbox solving and how is that benefiting you?** Labelbox is solving the tough job hunt in tech for many people. They do this by having them showcase their skills through data labeling projects while serving as independent contractors (which is what I am). ### 6. Labelbox makes your labeling work finish simple and fast **Rating:** 4.5/5.0 stars **Reviewed by:** Siva Kamal P. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2025 **What do you like best about Labelbox?** I like how Labelbox helps it's users by giving them a simple and better label data within short time. It contains a vast variety of tools that are simple and saves a lot of time while working as a team. t's organised data helps in making a better prompt while working with AI models. **What do you dislike about Labelbox?** As it contains lot of tools, a new user might find it hard working with labelbox. As it contains a large amount of data, output visualization might be slow. **What problems is Labelbox solving and how is that benefiting you?** It gave our team a better labels while we are working on data manipulation. It helped out team in working together and reduced errors and improved the accuracy of our data. It made our work simple and finish within the given deadline. ### 7. Want to improve your data labeling for your ML models, Labelbox does for you. **Rating:** 4.0/5.0 stars **Reviewed by:** Ramu K. | Trainee decision scientist lll, Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2025 **What do you like best about Labelbox?** It helps it's users by providing an easy and fast data labeling process with a clean user interface without confusing the user. And it also helps it's users by providing various tools for annotations which decrease their working time with improved quality of data. **What do you dislike about Labelbox?** If you are working on a large data sets, you might feel it a bit slower as it takes time to process. And it's not a beginner user friendly, it requires bit experience to explore and work with inbuilt tools. **What problems is Labelbox solving and how is that benefiting you?** It made our labeling work easier by providing us an effective and organised label data without taking long time. It made our ML models train with accurate data which saves a lot of manual effort and time. ### 8. "How Lablebox presented activite learning tool transformed my machine learning efficiency" **Rating:** 4.5/5.0 stars **Reviewed by:** Rohith S. | Associate Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 23, 2025 **What do you like best about Labelbox?** While using Lalbebox presented active learning tool, it improved my working efficiency on working with ML projects. I am able to focus on specific data points I've done my work effectively. And also it's high-quality output at reasonable prices is too good. **What do you dislike about Labelbox?** For small scale user's they might worried about the price, but they'll definately get compromised by it's amaizing features. **What problems is Labelbox solving and how is that benefiting you?** Lablebox benefited me by optimising my workflow within reasonable costs and delivering top notch results. And also it addressed several key problems in my projects, as listed: i. In data prioritisation ii. In streamlined labeling process iii. By continuous performance improvement. ### 9. Labelbox is the hands down most easy to use and convenient site for data modeling and training **Rating:** 4.5/5.0 stars **Reviewed by:** Mayank P. | Head of Human Resources, Small-Business (50 or fewer emp.) **Reviewed Date:** December 09, 2024 **What do you like best about Labelbox?** - I like how easily I can create and manage API's - I can upload my file and process it immediately which many competitor lacks - Referencing of any model on their model section - Their feature called API explorer - Ease of Integration **What do you dislike about Labelbox?** It does what I say very effectively but there are hardly any profile customization options also not being able to rearrange the dashboard is a bummer. **What problems is Labelbox solving and how is that benefiting you?** Lablebox provides very high quality high quality training data with good precision Its benefiting me by letting me labeling large data sets also let me create and manage API, and the fact that I can do all this in one place is very convenient to me. ### 10. No need of time taking process for Data labeling when you have Labelbox **Rating:** 4.5/5.0 stars **Reviewed by:** Rudra S. | Associate Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2025 **What do you like best about Labelbox?** It made data labeling and managing data for AI & ML models easy. It helps it's users in identifying and modifying correct data labels for AI model trainings which improves model accuracy within short period of time with good quality of output. **What do you dislike about Labelbox?** Without a good experience in usage of Labelbox and without a good data, it's user cannot able to train AI models. **What problems is Labelbox solving and how is that benefiting you?** It has a user-friendly interface to use which helped out team collab and interact to build and complete our AI tool with an ease. ### 11. AI Data Labeling platform **Rating:** 3.5/5.0 stars **Reviewed by:** Sai Kiran U. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2025 **What do you like best about Labelbox?** Easy to label images and text, videos which is helpful for organizing way better. That platform Uses cloud for storage for labeling mechanism which give you a efficient process of data from various peer clouds, it is the best way to process. **What do you dislike about Labelbox?** Cost is high and there is no offline support, which will make users to accommodate early beginners with ease of cost **What problems is Labelbox solving and how is that benefiting you?** I used it for images of street which helps me too navigate the roots in my maps service ### 12. Ai data labelbox review **Rating:** 5.0/5.0 stars **Reviewed by:** Vasanth K. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2025 **What do you like best about Labelbox?** As of my experience labelbox user interface is very friendly for beginners and it supports multiple data types like text, video and audio.it is used for annotate and datasets which is labeled for training models in machine learning **What do you dislike about Labelbox?** It provide less offline capabilities and processing speed is slow when iam compaing to other platforms **What problems is Labelbox solving and how is that benefiting you?** It has live model training updates and its cloud based so that we can aceess anywhere to process data without failure to connect peers ### 13. AI data engine platform **Rating:** 4.0/5.0 stars **Reviewed by:** Harika S. | Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** February 26, 2025 **What do you like best about Labelbox?** It is a Ai data engine platform.we can label data ourselves, use third-party services, or use Label box's Labeling Services .Users can customize workflows for data labeling, data cataloging, and model debugging. **What do you dislike about Labelbox?** Like over generalization it gives only based on single perspective.It restrict opportunities and limits the persons. It also give negative impact on something that is based on its single analysis. **What problems is Labelbox solving and how is that benefiting you?** It limited my workflow cost Like 1.It is helpful in labeling 2.image classification ### 14. Quick setup process **Rating:** 5.0/5.0 stars **Reviewed by:** Jerome H. | Photography Instructor, Small-Business (50 or fewer emp.) **Reviewed Date:** January 28, 2025 **What do you like best about Labelbox?** Easy to setup your accout. friendly user interface **What do you dislike about Labelbox?** absolutely nothing. so far i have only enjoyed using it **What problems is Labelbox solving and how is that benefiting you?** helps make data labelling and annotations easier and faster for me ### 15. AI review **Rating:** 0.0/5.0 stars **Reviewed by:** Tanuja S. | Associate Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 15, 2025 **What do you like best about Labelbox?** Complex things solve very easily... Ai will answer every thing and given step by step things... **What do you dislike about Labelbox?** Some some times it doesn't give answers properly **What problems is Labelbox solving and how is that benefiting you?** Whatever questions I ask it gives a answer that benefiting me ### 16. It helps generate accurate and large amount of data for your work **Rating:** 5.0/5.0 stars **Reviewed by:** Ali R. | React JS Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2025 **What do you like best about Labelbox?** It can help in generating large amount of data that can be helpful for any company. **What do you dislike about Labelbox?** I haven't found anything to dislike. Pricing is good and output from Labelbox is great. **What problems is Labelbox solving and how is that benefiting you?** It provides the data with accurate labels that can help improve readability and useability of data. ### 17. Amazing tool for data prepration **Rating:** 4.5/5.0 stars **Reviewed by:** Ankit G. | Module Lead, Enterprise (> 1000 emp.) **Reviewed Date:** June 24, 2024 **What do you like best about Labelbox?** It helps in data preparation and have many inbuilt features for searching, saving and sorting. And it's integration with other platforms **What do you dislike about Labelbox?** It's bit difficult to process images and other than that no issues **What problems is Labelbox solving and how is that benefiting you?** Tracking data easy can see task for others ### 18. Best Platform in the Market for Data Preparation **Rating:** 5.0/5.0 stars **Reviewed by:** Amal V. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** February 28, 2024 **What do you like best about Labelbox?** The Model assisted labelling is so accurate that data preparation time is reduced to a big extent. Also, the inbuild searching, sorting, saving a subset of the datasets options really make data handling much easier. **What do you dislike about Labelbox?** Nothing much, Didn't find any downsides when I used it. **What problems is Labelbox solving and how is that benefiting you?** A huge chunk of data was labelled well before the deadline using Labelbox. ### 19. Amazing Annotation Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Matthias M. | Project Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** February 27, 2024 **What do you like best about Labelbox?** I like the workflow design in Labelbox and its seamless integration with other data platforms. **What do you dislike about Labelbox?** It can be buggy if we need to process images with higher resolution. **What problems is Labelbox solving and how is that benefiting you?** We use this to annotate client's data basically 2D images which helps them train their AI models. ### 20. Was simple to use and labeling was generally intuitive **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** February 26, 2024 **What do you like best about Labelbox?** The color coding was especially useful for organizing categories of data in an image. **What do you dislike about Labelbox?** The UI seemed to be lacking flow and and smoothness of use. Would recommended making the use of tools less "clunky" **What problems is Labelbox solving and how is that benefiting you?** It's allowing the through of labeling images probably for ease of use through categories. ### 21. One of the sorted tools, I have ever worked on. **Rating:** 5.0/5.0 stars **Reviewed by:** Subhra G. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 23, 2023 **What do you like best about Labelbox?** Categorization of the categories as well as the data of the agents. We can quickly check an agent's time completing one label and the total labels per agent/team. Also, we can check how many tasks are assigned to an agent, **What do you dislike about Labelbox?** If there can be a comment box, it will be of great help as sometimes agents feel there is something important that needs to be mentioned in the comment section so that QA's can read it without any confusion. **What problems is Labelbox solving and how is that benefiting you?** It is solving the categorization of the categories. We can track the data easily and quickly, agent-wise and team-wise. We can also see how many tasks are assigned to an agent. ### 22. More or less i just enjoy using labelbox. There are no major mistakes, hud is beginner - friendly **Rating:** 4.5/5.0 stars **Reviewed by:** Piotr N. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 27, 2023 **What do you like best about Labelbox?** As i wrote earlier hud is charmingly easy to use. Also there are tools to make everything clear like switches to turn off frames, light/dark modes, light manipulation and easy photo repositioning. **What do you dislike about Labelbox?** The onlything that i dislike the most is often data migration. Maybe it is not a serious threat, but for me it is disturbing a lot beacouse it kicks me off my own work tempo. That is the only issue i have right now. **What problems is Labelbox solving and how is that benefiting you?** Right now I am using labelbox at work to label data. By that I don't know which problems does labelbox solve because I didn't see any problems. I am trying to help to create AI that helps my company to recognise data. ### 23. Its easy to use **Rating:** 3.0/5.0 stars **Reviewed by:** Manju S. | Data Labeling Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2022 **What do you like best about Labelbox?** It user friendly and has options to put guidelines right in front of the task. Labelbox team is also open to feedback. Airbnb has sent several feedbacks to change in the user interface and they have been implemented. **What do you dislike about Labelbox?** It has a few seconds of buffer time between tasks and it's very colourless. Also, the time taken for implementing was very long. The team almost took 6 months **Recommendations to others considering Labelbox:** Make it a little fast like Amazon Sagemaker. And remove the buffer time between tasks **What problems is Labelbox solving and how is that benefiting you?** We at Airbnb are training the bots to reply to the user accurately to save customer support workload and time. It will be helpful in training the bot. **Official Response from Monica Tison:** > Hi Manju - Thank you for your feedback! Over the past month, we've been making changes to our infrastructure to improve performance for our customers. We've been working closely with leaders from your team and others to ensure that we're meeting expectations and providing an exceptional experience for all users. We encourage you to work with our Support Team on any issues you encounter while using the platform so that we can collaborate on a resolution. We hope you see the benefits of the improvements we're making, and that you'll come back and share an update here soon! ### 24. Very handy tool that visibly changes for the better **Rating:** 5.0/5.0 stars **Reviewed by:** Michael Y. | Staff Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** February 24, 2023 **What do you like best about Labelbox?** Labelbox has a straightforward interface for labeling project designers and labelers alike. There is a learning curve, but help was always available, and I was sure that issues would be resolved. **What do you dislike about Labelbox?** Change is the only constant. The look and feel changed from under me a few times, but nothing critical. In some cases, not all uses of Labelbox were documented, but the support team was able to help quickly. **What problems is Labelbox solving and how is that benefiting you?** We needed a ground truth dataset labeled to train a machine learning model. Labelbox was convenient enough for designing a pilot labeling task by hand and, later, programmatically via Python code. ### 25. Very easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Himanshu B. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2023 **What do you like best about Labelbox?** The best thing is that it comprises a dashboard with charts and lets you know how much time is spent on particular listings. Very user-friendly labelbox and easy to use for beginners. **What do you dislike about Labelbox?** I wouldn't say I like it does not give customization options. If I am bored with this white background, I should have the option to change it. **What problems is Labelbox solving and how is that benefiting you?** It creates more systematic and organized data, making my work easy. I am working on one of the most critical projects, and it helps me evaluate my listings correctly and adequately. ### 26. An annotation tool with great ergonomy **Rating:** 5.0/5.0 stars **Reviewed by:** Leo B. | Data scientist, Enterprise (> 1000 emp.) **Reviewed Date:** September 28, 2022 **What do you like best about Labelbox?** I like the shortcuts of the annotation tool. They are very ergonomic and the mechanisms are designed for the practitioner. The Python API allows any developer to integrate labelbox in their pipelines. **What do you dislike about Labelbox?** I don't like the fact that it cannot really handle multichannel images, that are rarely seen in normal computer vision but are ubiquitous in scientific imaging. Also, the searching engine is a bit buggy. Last, the focus on the unique id for the datarow is not what I want when I know my data by their file name, I have to write the name on the image if I want to look up one... **What problems is Labelbox solving and how is that benefiting you?** We are developing automated blob detection in fluorescence images and we needed to build a dataset. ### 27. User Friendly App to make Annotation Easier **Rating:** 5.0/5.0 stars **Reviewed by:** Kelly H. | Annotator, Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2022 **What do you like best about Labelbox?** Lablebox makes my job easier as I look images by setting me up with success. Any update that comes out, is easy to adjust to as well. **What do you dislike about Labelbox?** Most of the time, there is not one thing I dislike. Just every so often the program can run slower. It may during updates, or what have you. When there has been a problem, the Lablebox crew was on it fast to fix the problem. **What problems is Labelbox solving and how is that benefiting you?** Labelbox is letting me skim thru images faster and more efficiently. ### 28. Perfectly streamlined for what it is. **Rating:** 4.5/5.0 stars **Reviewed by:** Christopher B S. | Undergraduate Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** September 27, 2022 **What do you like best about Labelbox?** There isn't a lot to it. You just login, submit your labels, and close the website. It's minimal interaction, which is how data labeling should be -- keeping the janitorial work as quick as possible. **What do you dislike about Labelbox?** The group aspect of it could be a bit more transparent. For example, my colleague and I were labeling sunflower images, and I wasn't sure if I was already labeling what he did. However, the current implementation is very smooth. **What problems is Labelbox solving and how is that benefiting you?** Getting the janitorial work of data done as quickly and smoothly as possible. It's probably no one's favorite part of the job and Labelbox makes it quick. Also, very nicely streamlined for all data types. ### 29. This is the best tool I have ever used as a data annotator **Rating:** 5.0/5.0 stars **Reviewed by:** Munene T. | CEO, Founder Bidvestt Data Tech, Small-Business (50 or fewer emp.) **Reviewed Date:** September 26, 2022 **What do you like best about Labelbox?** The tool is easy to use, and it intergrates many functions together. I like the auto annotations part, it makes final annotation easier and accurate **What do you dislike about Labelbox?** It is not easy to know from where to subscribe as a new client. **What problems is Labelbox solving and how is that benefiting you?** The tool is most helpful to me in data annotation part. ### 30. Good product to get your asset Labeled **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 26, 2022 **What do you like best about Labelbox?** Better UI and SDK Support. Their GraphQL support also works well. Their ability to send events based on labeling. Cataloging data thru blob storage intergration. **What do you dislike about Labelbox?** Still need to do some straightforward processes after the asset is labeled. Need some clear tools which setting up labeling ontology. Need some performance improvement on the python SDK for uploading asset. **What problems is Labelbox solving and how is that benefiting you?** Main problem Labelbox solves is with human interviews on assing an asset. We were able to evaluate our models using the response/annotation from the labelbox to test our model. ### 31. Awesome tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 24, 2022 **What do you like best about Labelbox?** Labelbox is an awesome tool. I have been using it for a few months and I find it very useful. It is useful to manage performance and navigate through multiple tasks at the same time. **What do you dislike about Labelbox?** It's awesome. I can barely find anything I could dislike at this point. It is useful to manage performance and navigate through multiple tasks at the same time. It is useful to manage performance and navigate through multiple tasks at the same time. **Recommendations to others considering Labelbox:** Yes. I will recommend labelbox to others considering the amount of time and effort I was able to save just by using it. **What problems is Labelbox solving and how is that benefiting you?** Helping us drill down large chunks of data to a simplified form, using a different matrix to evaluate the performance in real-time, collaborating with teams of several projects etc. ### 32. Labelbox Rocks! The Best App for Image Annotating Out there! Simply the Best! **Rating:** 5.0/5.0 stars **Reviewed by:** Jeth C. | Global Operations Generalist, Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2022 **What do you like best about Labelbox?** Tools for setting up a project. There are lots of options to select from, It is easy to use and all the instructions are easy to understand. Checking the outputs is not difficult. **What do you dislike about Labelbox?** Generating Reports. sometimes there is a lag. Reviewing outputs, especially image annotations, when creating an issue you have to search over again when looking for a particular image. **Recommendations to others considering Labelbox:** I advise that this must be your first option in doing projects related to machine learning programs. **What problems is Labelbox solving and how is that benefiting you?** We have 3 projects on Labelbox, First, finding any humans in an image, the second is identifying cupboards and the last is identifying a wooden floor. It is reliable, accurate, and efficient. ### 33. The Best Software to work with **Rating:** 4.5/5.0 stars **Reviewed by:** Nilesh J. | Medical Expert, Small-Business (50 or fewer emp.) **Reviewed Date:** June 26, 2022 **What do you like best about Labelbox?** The Label Box is very easy to handle and very effective while working with it. **What do you dislike about Labelbox?** The only issue is with this software is that " to label curves" it is not helping much and while labeling curves, angles are surfacing **Recommendations to others considering Labelbox:** Label box is a very good software which literally helps you to complete your task in magical ways !! **What problems is Labelbox solving and how is that benefiting you?** Label box is very easy to operate and it always work without getting hangged ### 34. No hassles while working on the labelbox **Rating:** 5.0/5.0 stars **Reviewed by:** Nakul J. | Quality Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 05, 2022 **What do you like best about Labelbox?** The UI is the simplest and easy to use. The dashboard is quite friendly. The progress is easy to track while working on the tasks. The filter system is close to perfection. **What do you dislike about Labelbox?** As of now, there is no such thing to be disliked. However, the only thing that would need improvement is the filter system, where filters can be added for the time of the day. **Recommendations to others considering Labelbox:** Use of Labelbox is highly recommended. I have never worked on a platform simpler than Labelbox. **What problems is Labelbox solving and how is that benefiting you?** We are reviewing the tasks assigned as per the quality of the tasks. The new update is quite friendlier than the previous one. I would say it is efficient and effective. ### 35. Labelbox Recommendation to others. **Rating:** 5.0/5.0 stars **Reviewed by:** Varun B. | Senior Implementation Project Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 23, 2022 **What do you like best about Labelbox?** Tool interface and usage. It is easy to use and mechanism. **What do you dislike about Labelbox?** Ontology can be made more simpler and more features can be added if possible. **Recommendations to others considering Labelbox:** I recommend labelbox as it is webbased and easy to integrate with cloud and lots of features are useful. **What problems is Labelbox solving and how is that benefiting you?** My team is into ADAS and model training. We are using labelbox for annoatation which is used as a test and training set. ### 36. Exceeds expectations **Rating:** 4.5/5.0 stars **Reviewed by:** Vanessa A. | Analist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2022 **What do you like best about Labelbox?** In general the service is fast and very easy to use - intuitive **What do you dislike about Labelbox?** In some projects, the images are "locked" - it indicates the completion of the project, although images appear to label. 1 out of 50 times access, the service is slower than usual **What problems is Labelbox solving and how is that benefiting you?** The "locked" images ### 37. Perfect Software for generation of large datasets! **Rating:** 4.0/5.0 stars **Reviewed by:** Shubham S. | Technical Director, Mid-Market (51-1000 emp.) **Reviewed Date:** March 09, 2022 **What do you like best about Labelbox?** This software becomes handy where the sample sizes are small and a huge dataset is required. Hence, it allows generating effective work towards delivering strong applications rather than dealing with data scarcity issues. **What do you dislike about Labelbox?** The UI of the product is not upto the mark and hence it is difficult to understand by a normal user. Apart from that, collaborators are not able to access the stored data. **What problems is Labelbox solving and how is that benefiting you?** The software helped in creating large datasets for a medical project in our company, otherwise, it would have had required tedious coordination with heart surgeons around the world. ### 38. The swiss army knife of annotation tools for data driven solutions! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** June 28, 2022 **What do you like best about Labelbox?** The facilitation of augmenting unstructured datasets with a few clicks of a button, tracking features of labeled datasets, and the ability to update labels with model predictions. **What do you dislike about Labelbox?** Would like to see the ability to import a model package to provided model-driven labels. This way we as close to the data source, rather than sending the data out for predictions. **Recommendations to others considering Labelbox:** Look no further. **What problems is Labelbox solving and how is that benefiting you?** Tracking labeled datasets, improving model performance, and distributing labeling workload to non-technical users. ### 39. Highly Recommend if you want to create an easy to use supervised ML pipeline! **Rating:** 5.0/5.0 stars **Reviewed by:** Simone V. | Data scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** March 31, 2022 **What do you like best about Labelbox?** I use Labelbox primarily for annotation of text data in order to create supervised ML models. I like that it has a well-developed SDK where I can easily load annotations into Python. **What do you dislike about Labelbox?** Sometimes the UI can be glitchy and I need to refresh the page a few times. **What problems is Labelbox solving and how is that benefiting you?** Labelbox helps me create an annotation pipeline that is easily integrated with my existing code. I can programmatically import and export data which I've never been able to do before. ### 40. Great labeling platform **Rating:** 5.0/5.0 stars **Reviewed by:** Sadjad A. | Lead Computer Vision Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2022 **What do you like best about Labelbox?** efficiency and load time, ease of use, good user experience **What do you dislike about Labelbox?** video export format, download time, image load time **Recommendations to others considering Labelbox:** use the feedback feature **What problems is Labelbox solving and how is that benefiting you?** image labeling, crowdsourcing , feedback ### 41. intuitive UI, smooth communication with Labelbox team **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Electrical/Electronic Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** June 29, 2022 **What do you like best about Labelbox?** smooth workflow for both labeling and QA process, nice label filtering options which ease up the working on our projects **What do you dislike about Labelbox?** some bugs appear here and there, but they are getting fixed within an acceptable time **What problems is Labelbox solving and how is that benefiting you?** ensuring quality and consistency of annotated data as well as managing our inhouse team ### 42. Extremely useful tool for a very specific purpose **Rating:** 4.0/5.0 stars **Reviewed by:** Quentin Q. | Engineering co-op student, Enterprise (> 1000 emp.) **Reviewed Date:** March 31, 2022 **What do you like best about Labelbox?** Ease of use, could identify objects quickly **What do you dislike about Labelbox?** when boxes would overlap it was hard to see what was there and select the one I wanted **Recommendations to others considering Labelbox:** It was very useful for training a neural network to identify objects in photos. I'm not sure what other situations it would be used in **What problems is Labelbox solving and how is that benefiting you?** training a neural network that is designed to analyze photos ### 43. Good experience and more potential **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Medical Devices | Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2022 **What do you like best about Labelbox?** Collaboration between multiple users and the possibility to integrate many features. **What do you dislike about Labelbox?** Being very precise at segmenting images is some times very difficult, small portions cannot be removed/added that easily, often the whole mask even gets "blurry" when removing parts which lay in the mask. Working on issues is very negative in the last weeks. **What problems is Labelbox solving and how is that benefiting you?** Segmentations in the context of Medical Image Processing. ### 44. Dataset creation with Annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 17, 2021 **What do you like best about Labelbox?** It is an Open Source product that makes the data labeling process is effortless. You can create a large amount of object detection data within no time. We can automate the training process via its API support. We can also Import/export various formats for the dataset. It also provides support to various cloud services. **What do you dislike about Labelbox?** I do not see any disadvantage about this product. Labeling frames from a video can be tedious. Technical team support is prolonged. Service goes under maintenance many times. **Recommendations to others considering Labelbox:** For any data scientist out there looking for a tool to generate seamless detection datasets seamlessly, I would strongly recommend LabelBox. Team collaboration is possible. It manages dataset generation and training workflows very efficiently. **What problems is Labelbox solving and how is that benefiting you?** We create our object detection datasets using this tool. We train all the hygiene-related compliance deep learning models using this tool. The benefit that it provides is all the data is created electronically in no time. ### 45. I like Labelbox **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Public Policy | Small-Business (50 or fewer emp.) **Reviewed Date:** December 28, 2021 **What do you like best about Labelbox?** I used Labelbox for my work, and I had an all around positive experience. Importing satellite imagery and creating data was made super easy, no command line work. Keyboard shortcuts easily saved many hours on the job. **What do you dislike about Labelbox?** The platform can get a bit slow as resolution increases in the satellite imagery/map scan, but it still works, which is ok, as I usually don't use such large images. **What problems is Labelbox solving and how is that benefiting you?** Data creation has become a lot more efficient with Labelbox. I have enjoyed using the platform and am thoroughly fulfilled with my user experience. Would recommend to people needing a simple way to create data. ### 46. Easy to use in labelling datasets **Rating:** 5.0/5.0 stars **Reviewed by:** Alim B. | AI Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2021 **What do you like best about Labelbox?** User friendly and less technicality involved **What do you dislike about Labelbox?** The pricing. Actually expected a low price option for startups **What problems is Labelbox solving and how is that benefiting you?** Labelling data for machine learning ### 47. Very Likely **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 14, 2021 **What do you like best about Labelbox?** Working on this platform is easy, reliable. **What do you dislike about Labelbox?** All of the app features are helpful, and there are no downsides to using a label box. **What problems is Labelbox solving and how is that benefiting you?** I am labeling the images. ### 48. Lablebox is fundamental to the generation of large datasets in the Medical Domain. **Rating:** 5.0/5.0 stars **Reviewed by:** Pietro Antonio C. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Labelbox?** It saves an immense amount of time and allows you to generate a validated dataset in a field plagued by small sample sizes. This in turn allows us to generate impactful work that focuses more on delivering strong applications than dealing with data scarcity issues. I strongly recommend it to all groups working with medical data. **What do you dislike about Labelbox?** It would be great if labelbox could be used to store the data, which could be easily accessed by collaborators. This would prevent having to share data on platforms like labelbox and would centralize all collaboration to one site. **What problems is Labelbox solving and how is that benefiting you?** Labelbox has allowed me to generate large pathology datasets that would have otherwise required tedious coordination with physicians around the globe. Being able to electronically label data gives physicians the ability to make an impact in our research without taking up their valuable (and usually preoccupied) time. ## Labelbox Discussions - [How do I download Labelbox?](https://www.g2.com/discussions/how-do-i-download-labelbox) - 2 comments - [View Labelbox pricing details and edition comparison](https://www.g2.com/products/labelbox/reviews?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-05-14+12%3A42%3A26+-0500&secure%5Bsession_id%5D=8145cf9d-0841-456a-a1df-a92d81459b7e&secure%5Btoken%5D=833166a5da70122506db9e14132fd457d8edb4111dc96f8c83ed5fc11417602e&format=llm_user) ## Labelbox Integrations - [alignerr AI](https://www.g2.com/products/alignerr-ai/reviews) ## Labelbox Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Quality** - Labeler Quality - Task Quality - Data Quality - Human-in-the-Loop **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Model Training & Optimization - Active Learning Tools** - Model Training Efficiency - Automated Model Retraining - Active Learning Process Implementation - Iterative Training Loop Creation - Edge Case Discovery **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Automation** - Machine Learning Pre-Labeling - Automatic Routing of Labeling **Operations** - Metrics - Infrastructure management - Collaboration **Data Management & Annotation - Active Learning Tools** - Smart Data Triage - Data Labeling Workflow Enhancement - Error and Outlier Identification - Data Selection Optimization - Actionable Insights for Data Quality **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Image Annotation** - Image Segmentation - Object Detection - Object Tracking - Data Types **Management** - Cataloging - Monitoring - Governing **Model Performance & Analysis - Active Learning Tools** - Model Performance Insights - Cost-Effective Model Improvement - Edge Case Integration - Fine-tuning Model Accuracy - Label Outlier Analysis **Deployment** - Managed Service - Application - Scalability **Natural Language Annotation** - Named Entity Recognition - Sentiment Detection - OCR **Generative AI** - AI Text Generation - AI Text Summarization **Speech Annotation** - Transcription - Emotion Recognition **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Labelbox Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.9/5.0 (266 reviews) - [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews) - 4.4/5.0 (87 reviews) - [Encord](https://www.g2.com/products/encord/reviews) - 4.8/5.0 (65 reviews)