Best Data Labeling Software

How Many Data Labeling Software Products Does G2 Track?

Total Products under this Category: 137

Category Stats (Sep 2026)

  • Average Rating: 4.5/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Clarifai (+0.53%) - Among all products in this category, Clarifai recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Labeling Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 137+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Labeling Software

G2 Grid® for Data Labeling Software plotting products by satisfaction and market presence

Highlighted products: SuperAnnotate, Roboflow, Encord, Datasaur, CVAT, Amazon Sagemaker Ground Truth, V7 Darwin, and Labelbox.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=superannotate&focus%5B%5D=roboflow&focus%5B%5D=encord&focus%5B%5D=datasaur&focus%5B%5D=cvat&focus%5B%5D=amazon-sagemaker-ground-truth&focus%5B%5D=v7-darwin&focus%5B%5D=labelbox)

SuperAnnotate

SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thousands of rigorously vetted experts, ethical and scalable managed operations, precise talent matching, and purpose‑built technology, SuperAnnotate delivers full project visibility and unmatched data quality. SuperAnnotate powers complex annotation, evaluation, and reinforcement learning workflows to build, evaluate and align frontier AI. Trusted by innovators like Databricks, IBM and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate enables the world’s top AI teams to build responsible and state‑of‑the‑art models with human data.

Average Rating: 4.8/5.0

Total Reviews: 356

How Do G2 Users Rate SuperAnnotate?

  • Labeler Quality: 9.6/10 (Category avg: 8.9/10)
  • Object Detection: 9.4/10 (Category avg: 8.9/10)
  • Data Types: 9.5/10 (Category avg: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind SuperAnnotate?

  • Seller: SuperAnnotate
  • Company Website:
  • Year Founded: 2018
  • HQ Location: San Francisco, CA
  • Twitter: @superannotate
    720 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    413 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Data Trainer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Small, 23% Medium

What Do G2 Reviewers Say About SuperAnnotate?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the intuitive interface of SuperAnnotate, which simplifies large-scale annotation projects and boosts collaboration.
  • Users enjoy the user-friendly interface of SuperAnnotate, facilitating efficient and accurate annotations with powerful tools.
  • Users praise the annotation efficiency of SuperAnnotate, appreciating its time-saving features and user-friendly interface.
  • Users highlight the efficiency of SuperAnnotate, enabling quick, high-quality annotations with user-friendly tools and collaboration features.
  • Users value the high-quality annotations provided by SuperAnnotate, enhancing efficiency and ensuring consistency across projects.
Cons
  • Users have noted performance issues with SuperAnnotate, including slow loading times for large projects and technical glitches.
  • Users often face slow performance, experiencing lag and hanging when cropping images and labeling tasks on SuperAnnotate.
  • Users find the difficult learning curve challenging, particularly with advanced features and large datasets requiring time to master.
  • Users find the complexity for new users of SuperAnnotate challenging, especially with advanced tools and features.
  • Users find the lack of guidance challenging, making the learning curve steep for new users of SuperAnnotate.

What Are Recent G2 Reviews of SuperAnnotate?

What Are G2 Users Discussing About SuperAnnotate?

Roboflow

Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.

Average Rating: 4.7/5.0

Total Reviews: 160

How Do G2 Users Rate Roboflow?

  • Labeler Quality: 9.0/10 (Category avg: 8.9/10)
  • Object Detection: 9.1/10 (Category avg: 8.9/10)
  • Data Types: 8.7/10 (Category avg: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Roboflow?

  • Seller: Roboflow
  • Year Founded: 2019
  • HQ Location: Remote, US
  • Twitter: @roboflow
    13,577 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    144 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, Researcher
  • Top Industries: Computer Software, Research
  • Company Size: 78% Small, 14% Medium

What Do G2 Reviewers Say About Roboflow?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Roboflow, enabling efficient model training and collaboration with a user-friendly interface.
  • Users highlight Roboflow's efficiency in dataset management, streamlining tasks and significantly saving time and reducing errors.
  • Users value the annotation efficiency of Roboflow, enjoying time savings and reduced errors in dataset management.
  • Users love how Roboflow's data labeling simplifies collaboration, annotation, and export processes, saving time and reducing errors.
  • Users appreciate the powerful and versatile features of Roboflow, making it ideal for academic and large-scale projects.
Cons
  • Users find the cost prohibitive for advanced features, especially students needing budget-friendly options.
  • Users note the limited features of Roboflow, as some advanced options require higher-tier plans and constraints exist.
  • Users experience limited functionality in Roboflow, particularly with advanced features and flexibility for complex tasks.
  • Users find annotation issues with Roboflow, especially in auto-labeling and polygon marking for complex images.
  • Users find inefficient labeling processes cumbersome, especially in team environments with a lack of automation and shortcuts.

What Are Recent G2 Reviews of Roboflow?

Encord

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

Average Rating: 4.8/5.0

Total Reviews: 65

How Do G2 Users Rate Encord?

  • Labeler Quality: 9.4/10 (Category avg: 8.9/10)
  • Object Detection: 9.3/10 (Category avg: 8.9/10)
  • Data Types: 9.7/10 (Category avg: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Encord?

  • Seller: Encord
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @encord_team
    1,014 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    216 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Hospital & Health Care
  • Company Size: 51% Small, 40% Medium

What Do G2 Reviewers Say About Encord?

AI-generated summary from verified user reviews

Pros
  • Users praise Encord for its responsive customer support, ensuring quick solutions and seamless collaboration during projects.
  • Users commend Encord for its annotation efficiency, appreciating the smooth workflow and intuitive interface that enhances productivity.
  • Users value the intuitive interface and powerful AI features of Encord, enhancing their data annotation efficiency significantly.
  • Users value the efficiency of Encord, experiencing smooth workflows and quick data integration that accelerates their processes.
  • Users value the intuitive interface and comprehensive features of Encord, enhancing efficiency in data curation and annotation.
Cons
  • Users find that custom workflows can be challenging, but support from the team helps mitigate the difficulties.
  • Users find it challenging to keep up with frequent updates from Encord, despite support from their customer success team.
  • Users find it challenging to keep up with best practices due to frequent feature updates from Encord.

What Are Recent G2 Reviews of Encord?

Datasaur

Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.

Average Rating: 4.4/5.0

Total Reviews: 83

How Do G2 Users Rate Datasaur?

  • Labeler Quality: 9.2/10 (Category avg: 8.9/10)
  • Object Detection: 8.4/10 (Category avg: 8.9/10)
  • Data Types: 8.2/10 (Category avg: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Datasaur?

  • Seller: Datasaur
  • Year Founded: 2019
  • HQ Location: San Francisco Bay Area, California
  • Twitter: @datasaurai
    261 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Medium, 35% Small

What Are Recent G2 Reviews of Datasaur?

What Are G2 Users Discussing About Datasaur?

FAQs About Data Labeling Software

Generated using AI

Last updated: June 3, 2026

Which Data Labeling platforms support computer vision models using bounding boxes and point cloud annotation

Based on G2 reviews, these products are the clearest fits for image and point cloud annotation needs.

  • Taskmonk — LiDAR projects with quality checks.
  • SuperAnnotate — bounding boxes, segmentation, review workflows.
  • Segments.ai — multi-sensor and point cloud labeling.
  • Roboflow — computer vision datasets and annotations.

Data Labeling platforms that maintain annotation quality while handling high-volume image processing without slowdowns

According to verified users, teams evaluating data labeling software often look for a balance between speed, consistency, and review controls. Recent G2 reviews highlight strengths such as built-in quality checks, version control, structured review steps, and collaboration features that help maintain labeling quality at scale. Reviewers also repeatedly call out limits to watch for, including lag with very large datasets, slower uploads or exports, and occasional responsiveness issues on heavy image workloads. In this category, buyers tend to compare how well platforms support organized dataset management, annotation review, and reliable throughput when image volume rises, rather than looking for raw processing speed alone.

Which Data Labeling tools avoid performance issues and instability when processing large image batches

Based on G2 reviews, these products are commonly mentioned for managing larger image workloads with structured workflows.

  • SuperAnnotate — large datasets with quality controls.
  • Roboflow — image annotation and dataset versioning.
  • Taskmonk — scalable labeling with built-in QC.
  • Encord — video and data pipeline workflows.

What are the most important features in data labeling software

According to verified users, the most important features in data labeling software are annotation tools that match the data type, clear review and quality control workflows, dataset organization, and collaboration support. Recent G2 reviews also point to versioning, preprocessing or augmentation support, export flexibility, and AI-assisted labeling as recurring decision factors. For computer vision use cases, buyers often mention support for bounding boxes, polygons, segmentation, and video or point cloud workflows. Reviewers also care about how easily teams can move from labeling into model training or downstream pipelines. In practice, the best-fit platforms reduce manual effort while still helping teams maintain consistency, traceability, and clean handoffs.

How do teams use Data Labeling for quality control

According to verified users, teams use data labeling for quality control by building review steps directly into annotation workflows. Recent G2 reviews describe practices such as peer review, verify-before-submit checkpoints, role-based task assignment, change tracking, and version control to catch mistakes early and improve consistency across annotators. Buyers also look for tools that centralize labeling, feedback, and project management so fewer issues slip through handoffs. In image-heavy workflows, users value features that help compare annotations, review edge cases, and maintain standards across large batches. The common theme is that quality control works best when it is embedded in the labeling process rather than handled as a separate cleanup step later.

CVAT

Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source platform, we offer professional data labeling services, an Enterprise version of CVAT, as well as consulting and customization services to meet specific client needs. Our team supports businesses and AI researchers worldwide in efficiently managing data annotation for computer vision projects. Key Features: - Popular Open-Source Tool: CVAT is trusted by thousands of developers and organizations globally. - Data Labeling Services: We provide expert data labeling services to handle projects from start to finish. - Enterprise Version of CVAT: The Enterprise version offers advanced features, support, and scalability for larger organizations. - Consulting and Customization: We offer consulting services and can customize CVAT to match your project needs. Learn more about our approach to consulting and feature requests here. - AI-Assisted Automation: Our platform uses AI to enhance labeling efficiency and accuracy. - Team Collaboration: Teams can collaborate seamlessly on large-scale projects. - Customizable and Scalable: CVAT can be adapted to your project size and needs. - Secure: We meet global data privacy and security standards. What We Solve: CVAT.ai helps users reduce manual efforts by making data annotation faster, more accurate, and easy to manage. Through our open-source platform, professional labeling services, consulting, and the Enterprise version, we offer a flexible, comprehensive solution for any computer vision project.

Average Rating: 4.5/5.0

Total Reviews: 54

How Do G2 Users Rate CVAT?

  • Labeler Quality: 9.6/10 (Category avg: 8.9/10)
  • Object Detection: 9.3/10 (Category avg: 8.9/10)
  • Data Types: 8.6/10 (Category avg: 8.8/10)
  • Ease of Use: 8.7/10 (Category avg: 8.8/10)

Who Is the Company Behind CVAT?

  • Seller: CVAT.ai
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Wilmington, US
  • LinkedIn® Page: www.linkedin.com
    116 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 80% Small, 13% Medium

What Do G2 Reviewers Say About CVAT?

AI-generated summary from verified user reviews

Pros
  • Users commend the annotation efficiency of CVAT.ai, noting impressive speed and quality in handling complex tasks.
  • Users appreciate the intuitive and efficient interface of CVAT.ai, enhancing the annotation process for large datasets.
  • Users commend the efficiency of CVAT.ai, highlighting its intuitive interface and seamless collaboration for large datasets.
  • Users commend the high quality of CVAT.ai's annotations, highlighting impressive speed and effective collaboration.
  • Users commend the excellent customer support from CVAT.ai, facilitating smooth resolutions to technical challenges.
Cons
  • Users find the platform difficult to learn, particularly for beginners who may feel overwhelmed by its functions.
  • Users find the complexity of CVAT.ai challenging, particularly for beginners struggling to navigate its functions.
  • Users face labeling issues due to inconsistent approaches, but support promptly addresses these concerns to improve accuracy.
  • Users note the lack of support for large 16-bit images, which limits functionality and usability in their workflows.
  • Users experience slow performance when handling very large video files and thousands of images on CVAT.ai.

What Are Recent G2 Reviews of CVAT?

Amazon Sagemaker Ground Truth

Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.

Average Rating: 4.1/5.0

Total Reviews: 19

How Do G2 Users Rate Amazon Sagemaker Ground Truth?

  • Labeler Quality: 10.0/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Amazon Sagemaker Ground Truth?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 37% Large, 37% Small

What Are Recent G2 Reviews of Amazon Sagemaker Ground Truth?

What Are G2 Users Discussing About Amazon Sagemaker Ground Truth?

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.

Average Rating: 4.5/5.0

Total Reviews: 48

How Do G2 Users Rate Labelbox?

  • Labeler Quality: 9.1/10 (Category avg: 8.9/10)
  • Object Detection: 8.6/10 (Category avg: 8.9/10)
  • Data Types: 8.8/10 (Category avg: 8.8/10)
  • Ease of Use: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Labelbox?

  • Seller: Labelbox
  • Year Founded: 2018
  • HQ Location: San Francisco, California
  • Twitter: @labelbox
    3,489 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    482 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 38% Medium

What Do G2 Reviewers Say About Labelbox?

AI-generated summary from verified user reviews

Pros
  • Users find Labelbox extremely easy to use, simplifying project management and enhancing productivity for data training.
  • Users appreciate the easy and efficient data labeling process of Labelbox, enhancing workflow and model accuracy.
  • Users value the efficiency of Labelbox, appreciating its smooth setup and seamless project management capabilities.
  • Users appreciate the AI capabilities of Labelbox, simplifying data labeling and enhancing model accuracy effortlessly.
  • Users find easy integrations in Labelbox beneficial, enabling a seamless setup and user-friendly experience for all.
Cons
  • Users express frustration over the lack of features, citing limited task claims and minimal customization options.
  • Users report slow performance when handling large datasets, impacting efficiency and user experience significantly.
  • Users find Labelbox to have a difficult learning curve due to its complexity and slower processing with large data sets.
  • Users find the high cost daunting, especially small scale users who may struggle with affordability despite great features.
  • Users experience slow processing with Labelbox, leading to long waits for project initiation and completion.

What Are Recent G2 Reviews of Labelbox?

What Are G2 Users Discussing About Labelbox?

V7 Darwin

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI.

Average Rating: 4.7/5.0

Total Reviews: 55

How Do G2 Users Rate V7 Darwin?

  • Labeler Quality: 9.4/10 (Category avg: 8.9/10)
  • Object Detection: 9.4/10 (Category avg: 8.9/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind V7 Darwin?

  • Seller: V7
  • Year Founded: 2018
  • HQ Location: London, England
  • Twitter: @v7labs
    3,471 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    105 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 55% Small, 35% Medium

What Do G2 Reviewers Say About V7 Darwin?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of V7 Darwin, finding it intuitive and efficient for managing HR tasks.
  • Users value the annotation efficiency of V7 Darwin, streamlining repetitive tasks and enhancing accuracy in processes.
  • Users praise the easy-to-use annotation tools of V7 Darwin, enhancing project efficiency and quality control.
  • Users commend the intuitive UI and comprehensive functionalities of V7 Darwin, enhancing HR management and efficiency.
  • Users appreciate the efficiency of V7 Darwin, which simplifies tasks and enhances productivity in HR management.
Cons
  • Users find the lack of features in V7 Darwin, such as file manipulation and intuitive navigation, disappointing.
  • Users desire missing features in V7 Darwin, such as polygon manipulation and improved export options for datasets.
  • Users find the limited features of V7 Darwin frustrating, particularly in annotations and dataset management capabilities.
  • Users experience annotation issues, including inability to retract submissions and lacking shortcuts for approval.
  • Users find the difficult navigation of V7 Darwin challenging, requiring time to adapt to its complex interface.

What Are Recent G2 Reviews of V7 Darwin?

What Are G2 Users Discussing About V7 Darwin?

Chemin

Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. SUPA is trusted by AI teams to solve their human data needs. Our lightning-fast machine-led labeling platform integrates with our diverse workforce to provide high-quality data at scale, making it the most cost-efficient solution for your AI. Visit us at https://www.supa.so/

Average Rating: 4.9/5.0

Total Reviews: 11

How Do G2 Users Rate Chemin?

  • Labeler Quality: 8.8/10 (Category avg: 8.9/10)
  • Object Detection: 9.7/10 (Category avg: 8.9/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Chemin?

  • Seller: TDCX
  • Year Founded: 1995
  • HQ Location: Singapore, SG
  • Twitter: @tdcxgroup
    1,054 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16,801 employees on LinkedIn®
  • Ownership: NYSE: TDCX

Who Uses This Product?

  • Company Size: 45% Medium, 45% Small

What Are Recent G2 Reviews of Chemin?

Sama

Sama is a globally recognized leader in data annotation solutions for enterprise computer vision and generative AI models that require the highest accuracy. As an industry pioneer with 15 years of experience, Sama’s expertise and solutions are trusted by leading companies such as GM, Ford, Continental, Google, and many more. Sama specializes in data annotation services for generative AI, and 2D and 3D image and video (including LiDAR and sensor fusion). We also validate complex machine learning algorithms. As a leader in ethical AI and a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good. We have meaningfully improved employment and income outcomes for those with the greatest barriers to formal work (validated by an independent MIT study). So far, we've helped more than 60,000 people lift themselves out of poverty. For more information, visit www.sama.com

Average Rating: 4.6/5.0

Total Reviews: 11

How Do G2 Users Rate Sama?

  • Labeler Quality: 9.0/10 (Category avg: 8.9/10)
  • Object Detection: 9.6/10 (Category avg: 8.9/10)
  • Data Types: 9.6/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Sama?

  • Seller: Sama
  • Year Founded: 2008
  • HQ Location: San Francisco, US
  • Twitter: @SamaAI
    228,871 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,349 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 55% Small, 36% Large

What Do G2 Reviewers Say About Sama?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the amazing data preprocessing and enrichment features of Sama, enhancing their analytics experience.
  • Users value the 24/7 customer support services of Sama, enhancing their experience with tutorials and demos.
  • Users appreciate the data cataloging features of Sama, enhancing data management and providing quick insights.
  • Users appreciate the amazing data pre-processing and enrichment features of Sama, significantly enhancing their analytics capabilities.
  • Users appreciate the advanced data processing and enrichment features of Sama, enhancing their analytics capabilities significantly.
Cons
  • Users find the complexity of Sama necessitates extensive training and skilled personnel, complicating its usability.
  • Users find the complex setup of Sama requires extensive training or skilled personnel for effective operation.
  • Users find the product's complexity creates a lack of training, necessitating skilled personnel for effective operation.
  • Users find that the product demands extensive training, making it difficult to operate without skilled personnel.

What Are Recent G2 Reviews of Sama?

Outlier AI

Outlier AI is a platform that connects human expertise with artificial intelligence to enhance the accuracy, speed, and reliability of AI models. By engaging a global network of over 100,000 experts across more than 50 countries, Outlier AI has facilitated the development of more knowledgeable and impactful AI systems, distributing over $500 million to its contributors. Key Features and Functionality: - Expert-Driven AI Training: Outlier AI leverages the specialized skills of its global expert community to train and refine AI models, ensuring high-quality data annotation and model development. - Flexible Remote Work Opportunities: The platform offers individuals meaningful and accessible job opportunities, allowing experts to contribute remotely and on their own schedules. - Integration with Scale AI: Powered by Scale AI, Outlier AI combines top-tier data infrastructure with advanced anomaly detection capabilities, enhancing the scalability and accuracy of AI solutions. Primary Value and Problem Solved: Outlier AI addresses the challenge of developing reliable and effective AI models by integrating human expertise into the AI training process. This approach not only improves the quality of AI outputs but also provides flexible employment opportunities to a diverse global workforce. By bridging the gap between human intelligence and artificial intelligence, Outlier AI ensures that AI systems are more accurate, efficient, and aligned with real-world applications.

Average Rating: 4.0/5.0

Total Reviews: 14

How Do G2 Users Rate Outlier AI?

  • Labeler Quality: 9.6/10 (Category avg: 8.9/10)
  • Object Detection: 9.2/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Outlier AI?

  • Seller: Outlier AI
  • Year Founded: 2023
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    29,937 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 100% Small

What Do G2 Reviewers Say About Outlier AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the helpful customer support of Outlier AI, enhancing their overall experience and satisfaction.
  • Users value the data accuracy of Outlier AI, appreciating its commitment to precise and thoughtful responses.
  • Users appreciate the flexible and remote project opportunities provided by Outlier AI for skill-based freelancing.
  • Users appreciate the transparent and fast payment system of Outlier AI, enhancing their overall satisfaction with the platform.
  • Users praise the fast response speed of Outlier AI, enhancing their overall user experience and satisfaction.
Cons
  • Users experience frustrating work interruptions due to inconsistent project availability and poor communication from management.
  • Users report buggy performance that causes unexpected project removals and fluctuating work availability, impacting their overall experience.
  • Users express frustration with low compensation and inconsistent project availability, hindering their overall experience with Outlier AI.
  • Users find the performance issues of Outlier AI hinder the overall user experience and usability of the platform.
  • Users frequently face poor customer support, leading to confusion and frustration with abrupt project changes and management communication.

What Are Recent G2 Reviews of Outlier AI?

Clarifai

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow orchestration platform leverages today's modern AI technologies like Large Language Models (LLMs), Large Vision Models (LVMs), and Retrieval Augmented Generation (RAG), data labeling, inference, and more, and is available in cloud, on-premises, or hybrid environments. Founded in 2013, Clarifai has been used to build more than 1.5 million AI models with more than 400,000 users in 170 countries. Learn more at www.clarifai.com.

Average Rating: 4.3/5.0

Total Reviews: 72

How Do G2 Users Rate Clarifai?

  • Labeler Quality: 8.3/10 (Category avg: 8.9/10)
  • Object Detection: 8.3/10 (Category avg: 8.9/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Clarifai?

  • Seller: Clarifai
  • Year Founded: 2013
  • HQ Location: Wilmington, Delaware
  • Twitter: @clarifai
    10,922 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Small, 28% Medium

What Do G2 Reviewers Say About Clarifai?

AI-generated summary from verified user reviews

Pros
  • Users appreciate Clarifai for its impressive models and flexibility, enhancing image and video recognition effectively.
  • Users value the easy AI tools of Clarifai, enabling fast and accurate image and video recognition effortlessly.
  • Users value the model variety in Clarifai, enabling tailored solutions with impressive flexibility and ease of integration.
  • Users appreciate the cutting-edge AI integration of Clarifai, enabling accurate image and video recognition through customizable models.
  • Users appreciate the cutting-edge AI capabilities of Clarifai, especially for image and video recognition tasks.
Cons
  • Users find the platform expensive for small-scale developers, as costs can accumulate quickly with usage.
  • Users find the complexity of setup and documentation challenging, especially for newcomers to the platform.
  • Users find the learning curve steep for Clarifai, particularly for those new to machine learning platforms.
  • Users face a lack of resources, hindering accessibility for small-scale developers and non-profits seeking affordable options.
  • Users often find the poor documentation of Clarifai lacking detail, hindering their ability to maximize its features.

What Are Recent G2 Reviews of Clarifai?

Taskmonk

Taskmonk is the enterprise AI training data platform for teams that need annotation to work at production scale, not pilot scale. It's one of the few platforms that handles six data modalities: text, image, audio, video, LiDAR, and DICOM in a single environment, so teams aren't stitching together separate tools once a project moves past standard computer vision. Built for annotation teams, project managers, and AI leads alike, Taskmonk pairs a no-code workflow builder with AI-assisted labeling and QA that holds up at scale: • No-code/low-code workflows that adapt per project without engineering time • AI-assisted labeling and model-assisted pre-labeling that cut annotation hours and lift throughput • Multi-stage QA like gold sets, consensus, adjudication, plus affinity-based task routing by annotator performance, not just role • SOC 2 Type II and ISO 27001 compliance, with HIPAA and data residency available for regulated industries Taskmonk has processed 480M+ annotation tasks and 6M+ labeling hours for 10+ Fortune 500 clients, including Flipkart, Myntra, and LG, saving clients $10M+ to date. Teams can also plug in a vetted, SLA-backed annotation workforce on the same platform, so there's one contract and one escalation path instead of sourcing labeling talent separately

Average Rating: 4.6/5.0

Total Reviews: 17

How Do G2 Users Rate Taskmonk?

  • Labeler Quality: 9.3/10 (Category avg: 8.9/10)
  • Object Detection: 9.2/10 (Category avg: 8.9/10)
  • Data Types: 9.7/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Taskmonk?

  • Seller: Taskmonk
  • Year Founded: 2018
  • HQ Location: Bengaluru, Karnataka, India
  • Twitter: @TaskmonkAI
    16 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 72% Small, 22% Large

What Do G2 Reviewers Say About Taskmonk?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Taskmonk, praising its intuitive interface and quick onboarding for beginners.
  • Users commend the exceptional customer support of Taskmonk, highlighting their responsiveness and commitment to user success.
  • Users commend Taskmonk for its efficiency, enabling quick onboarding and seamless handling of high-volume data annotation projects.
  • Users commend Taskmonk for its intuitive interface and robust features, making high-volume data labeling effortless and efficient.
  • Users highlight the quick setup and onboarding of Taskmonk, making it easy to start using the platform swiftly.
Cons
  • Users find Taskmonk has a lack of features, particularly in reporting and user interface flexibility.
  • Users find the difficult learning curve challenging for beginners, suggesting a need for a more user-friendly interface.
  • Users find the UI complexity daunting, especially newcomers, due to the overwhelming number of visible options.
  • Users experience occasional technical difficulties, though prompt support and solutions enhance overall satisfaction with Taskmonk.
  • Users face upload issues due to delays during peak times and limited local options for LiDAR projects.

What Are Recent G2 Reviews of Taskmonk?

Keymakr

We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data validation Document Annotation Data Creation Data Collection Our company creates best-in-class computer vision training data. We offer an in-house team paired with advanced proprietary annotation tools. Scalable and secure one-stop shop for your AI

Average Rating: 4.8/5.0

Total Reviews: 45

How Do G2 Users Rate Keymakr?

  • Labeler Quality: 9.4/10 (Category avg: 8.9/10)
  • Object Detection: 9.7/10 (Category avg: 8.9/10)
  • Data Types: 9.7/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Keymakr?

  • Seller: Keymakr
  • Year Founded: 2015
  • HQ Location: New York, NY
  • Twitter: @keymakr_com
    354 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    64 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Small, 22% Medium

What Do G2 Reviewers Say About Keymakr?

AI-generated summary from verified user reviews

Pros
  • Users commend Keymakr's excellent customer support and responsiveness, enhancing their overall experience with the software.
  • Users value the high-quality annotations from Keymakr, appreciating their accuracy and attention to detail on various images.
  • Users value Keymakr's efficient workflow integration, simplifying processes and enhancing overall productivity significantly.
  • Users commend Keymakr for its annotation efficiency, appreciating quick services and streamlined workflows that enhance productivity.
  • Users appreciate Keymakr's exceptional customer service, highlighting their proactive approach and fast, accurate responses to issues.
Cons
  • Users report recurring annotation mistakes and difficulties in exporting COCO format labels, though issues were eventually resolved.
  • Users find the difficult setup challenging, with initial adjustments and confusing UI navigation causing frustration.
  • Users find the UI navigation convoluted, making the initial setup and connections, like to S3, challenging.
  • Users find the limited customization options in Keymakr frustrating, particularly regarding password changes.

What Are Recent G2 Reviews of Keymakr?

Appen

Appen collects and labels images, text, speech, audio, video, and other data to create training data used to build and continuously improve the world’s most innovative artificial intelligence systems. We offer a state of the art, licensable data annotation platform to annotate training data use cases in computer vision and natural language processing. Our platform enhances accuracy and efficiency through our Smart Labeling and Pre-Labeling features which use Machine Learning to ease human annotations. You choose the level of service and security you want for data collection and annotation, from white-glove managed service to flexible self-service. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 235 languages and dialects, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

Average Rating: 4.2/5.0

Total Reviews: 33

How Do G2 Users Rate Appen?

  • Labeler Quality: 8.5/10 (Category avg: 8.9/10)
  • Object Detection: 8.7/10 (Category avg: 8.9/10)
  • Data Types: 8.8/10 (Category avg: 8.8/10)
  • Ease of Use: 8.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Appen?

  • Seller: Appen
  • Year Founded: 1996
  • HQ Location: Kirkland, Washington, United States
  • LinkedIn® Page: www.linkedin.com
    21,182 employees on LinkedIn®
  • Ownership: ASX:APX
  • Total Revenue (USD mm): $244,900

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 54% Small, 26% Large

What Do G2 Reviewers Say About Appen?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the flexibility and engaging diversity of tasks on Appen, enhancing their work experience and enjoyment.
  • Users appreciate the ease of use of Appen, allowing task completion conveniently via their cell phones.
  • Users appreciate the flexibility of Appen, allowing them to engage in diverse and interesting projects.
Cons
  • Users experience frequent work interruptions due to inconsistent project availability and navigation issues, affecting income reliability.
  • Users find the low compensation and inconsistent work availability makes Appen unreliable for a steady income.
  • Users find the navigation confusing and experience frequent logouts, impacting their usability of Appen.
  • Users often experience connectivity issues with Appen, leading to confusion and frequent disconnections.
  • Users find the navigation confusing and report frequent disconnections, impacting their overall experience with Appen.

What Are Recent G2 Reviews of Appen?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026