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Labellerr has simplified image labeling for us saving us time and resources. With active learning annotation, we have been able to streamline a lot of our work without breaking the bank! Review collected by and hosted on G2.com.
It works perfectly for our use case. Not much to complain about Review collected by and hosted on G2.com.
20 out of 21 Total Reviews for Labellerr
Overall Review Sentiment for Labellerr
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I recently had the opportunity to use Labellerr, to annotate a large corpus of textual data, specifically newspaper articles. My primary objective was to identify key elements within these articles as training data, and Labellerr proved to be an invaluable asset in this task.
Ease of Use: The interface of Labellerr is remarkably user-friendly. I was able to navigate through its features with ease, making the process of annotating large datasets feel less daunting. The intuitive design meant I spent less time figuring out how to use the tool and more time on the actual task at hand.
Efficiency: One of the standout features of Labellerr is its efficiency. The tool is designed to handle large datasets effortlessly. I noticed a significant reduction in the time it took to annotate each article compared to other tools I have used in the past. This efficiency did not compromise the quality of the annotations, which is crucial when working with large volumes of data.
Accuracy: The accuracy of Labellerr is impressive. The tool's advanced algorithms ensured that the key elements in the articles were identified correctly. This accuracy is vital for my project, as it relies heavily on the correctness of the annotated data.
Support and Guidance: The team behind Labellerr deserves special mention. They were always available to offer assistance and guidance whenever I needed it. Their support was not just technical but also advisory, providing insights that helped improve the overall quality of my project.
Overall, my experience with Labellerr has been extremely positive. It stands out for its ease of use, efficiency, accuracy, and excellent customer support. I would highly recommend Labellerr to anyone looking to train large corpora of textual data. It's a tool that truly delivers on its promises. Review collected by and hosted on G2.com.
I really can't think of many - this is a product that is growing and I can't wait for them to grow with our orgnization. Review collected by and hosted on G2.com.
I used Labellerr for one of our projects for image annotations. The software is so easy to use and very flexible. We are using Labellerr for our inspections module, where we take photographs of the Hotel Rooms and mark them for maintenance and other incidents. The annotation tool should be flexible enough to add more annotations and objects as we use it as it can learn new objects. Puneet was really helpful in explaining various aspects of the software and gave us a good start. Onboarding and getting ready for the test project took a few hours as we are already on Azure Cloud, so integration was pretty easy. Review collected by and hosted on G2.com.
It would be great if we could customise the hotkeys so that my team can mark objects faster. Review collected by and hosted on G2.com.
Labellerr's Smart Labelling is a game-changer for our diverse data needs, seamlessly covering image, text, and audio annotations. It adapts to tasks like transcribing customer calls and extracting insights from sales rep notes. The in-browser ML models streamline our data structuring, ensuring precision in crafting high-converting bundles and simplifying the buying process for our customers. We also appreciate its versatility in semantic annotation, showcasing furniture items in natural home spaces, just like the physical store experience. Review collected by and hosted on G2.com.
While Labellerr excels overall, I'd appreciate enhanced support for handling complex 3D models. The Labellerr team has assured us they are working on bringing 3D labeling support soon, addressing this need for more accurate data labeling in our furniture retail e-commerce. This refinement is crucial for providing a seamless customer experience when exploring and purchasing furniture items online. Review collected by and hosted on G2.com.
I am using Labellerr for mulitple projects, NLP & CV. The ease of use to set up and annotate makes it a breeze to onboard even novices to the team and workflow. The powerful analytics and backend tools as a superadmin give me full control on the Quality of the output as well as the Project Management.
And if I need any help the CS team is ready to help me everyday. Review collected by and hosted on G2.com.
I am looking forward to a fully customer customisable solutions. Review collected by and hosted on G2.com.
Labellerr is easy to use and its UI is quite intuitive. I was able to add my team to collaborate on the project. Apart from that, it supports various data formats, which was very helpful in my case. Review collected by and hosted on G2.com.
Sometimes it gives minor latency issues for bigger data sizes, but the good thing was that it autosaves all the work, so I didn't lose any labels. Review collected by and hosted on G2.com.
Intuitive UI
effortless navigation
Great for collaborative team projects
Support for diverse datatypes
Ease of use
Autosaves work Review collected by and hosted on G2.com.
Nothing much, a little latency in handling large datasets Review collected by and hosted on G2.com.
Labellerr allows me to automate my image labeling requirements with ease. Active learning-based annotation helps to keep my budget in check. Review collected by and hosted on G2.com.
Not much to say, however, auto annotation is still supported by their team, but I believe they will bring full self-service in the coming months. Review collected by and hosted on G2.com.
Tool is built keeping the needs of training ML model at centre. The UI is easy and can be very well customized. Review collected by and hosted on G2.com.
Nothing in particular. The tool is good to use. Review collected by and hosted on G2.com.
