# Labellerr Reviews **Vendor:** Tensor Matics Inc. **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.8/5.0 **Total Reviews:** 21 ## About Labellerr Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months. ## Labellerr Pros & Cons **What users like:** - Users value the **annotation efficiency** and appreciate the team's high-quality output and excellent collaboration features. (1 reviews) - Users value the **excellent collaboration** capabilities of Labellerr, enhancing teamwork and annotation quality. (1 reviews) - Users appreciate the **responsive customer support** of Labellerr, highlighting the team's availability and assistance. (1 reviews) - Users value the **high data accuracy** provided by Labellerr, praising the quality of annotations and collaboration. (1 reviews) - Users highlight the **efficiency** of Labellerr, valuing its high-quality annotations and excellent team collaboration. (1 reviews) - Quality (1 reviews) - Response Speed (1 reviews) **What users dislike:** - Users mention a **difficult setup** , indicating it requires extra time to establish collaboration effectively. (1 reviews) ## Labellerr Reviews ### 1. LabellErr annotation partnership for waste image computer vision **Rating:** 5.0/5.0 stars **Reviewed by:** Laurent M. | Co-founder and CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 14, 2025 **What do you like best about Labellerr?** Great team, very good annotation quality, excellent collaboration. **What do you dislike about Labellerr?** Not much to say. It took a little time to setup our collaboration. **What problems is Labellerr solving and how is that benefiting you?** Getting a good training dataset for waste computer vision. ### 2. Incredible solution and support team **Rating:** 5.0/5.0 stars **Reviewed by:** Aswin M. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** 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. **What do you dislike about Labellerr?** 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. **What problems is Labellerr solving and how is that benefiting you?** Labellerr is helping us annoate a textual corpus in order to train our machine learning model. ### 3. Flexible image data annotation tool I found **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospitality | Small-Business (50 or fewer emp.) **Reviewed Date:** February 04, 2024 **What do you like best about Labellerr?** 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. **What do you dislike about Labellerr?** It would be great if we could customise the hotkeys so that my team can mark objects faster. **What problems is Labellerr solving and how is that benefiting you?** We are building a computer vision AI-based image understanding system to understand anomalies in hotel room Standard Operating Procedures. The system will monitor room status and report to maintenance and housekeeping heads of the property in case of some misses. ### 4. Labellerr for enhanced online shopping and support: training datasets in action **Rating:** 4.5/5.0 stars **Reviewed by:** Kamal K. | Director - Product Management & eCommerce, Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2024 **What do you like best about Labellerr?** 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. **What do you dislike about Labellerr?** 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. **What problems is Labellerr solving and how is that benefiting you?** Labellerr tackles various challenges, from transcribing customer calls to identifying room elements. It accelerates labeling, refines work tracking, and enhances domain capabilities. This streamlines workflows and benefits strategic decision-making, creating bundles, simplifying the buying journey, and understanding customers' choices for personalized product recommendations. ### 5. Keeping it simple **Rating:** 5.0/5.0 stars **Reviewed by:** Jaideep R. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 15, 2024 **What do you like best about Labellerr?** 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. **What do you dislike about Labellerr?** I am looking forward to a fully customer customisable solutions. **What problems is Labellerr solving and how is that benefiting you?** We needed accurate training data to build our models and Labellerr is providing the exact support that we needed. ### 6. Easy to use for image annotation task **Rating:** 5.0/5.0 stars **Reviewed by:** Shrikant K. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** 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. **What do you dislike about Labellerr?** 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. **What problems is Labellerr solving and how is that benefiting you?** My team is working on an object detection project, for which I needed a tool that my team can easily get trained on. Data security, quality control, and speed were our key concerns. We're quite happy with Labellerr product and service so far. ### 7. Game changer for automated image annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Sumit S. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2024 **What do you like best about Labellerr?** 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! **What do you dislike about Labellerr?** It works perfectly for our use case. Not much to complain about **What problems is Labellerr solving and how is that benefiting you?** We work with several, large media organization for their data analytics and insights needs. We use Labller for large-scale bounding box detection for images and video. Labellerr's label generation is top-notch. The support provides by their team is exceptional. I would highly recommend them ### 8. Support for diverse data types **Rating:** 4.0/5.0 stars **Reviewed by:** Rajesh Kumar B. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 28, 2024 **What do you like best about Labellerr?** Intuitive UI effortless navigation Great for collaborative team projects Support for diverse datatypes Ease of use Autosaves work **What do you dislike about Labellerr?** Nothing much, a little latency in handling large datasets **What problems is Labellerr solving and how is that benefiting you?** Used in medical imaging problem. It has given very accurate results. ### 9. Good automated image labeling tool **Rating:** 5.0/5.0 stars **Reviewed by:** Ankit T. | Founder and CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** Labellerr allows me to automate my image labeling requirements with ease. Active learning-based annotation helps to keep my budget in check. **What do you dislike about Labellerr?** 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. **What problems is Labellerr solving and how is that benefiting you?** I needed to do bounding box detection on human data at a large scale. Labellerr team helped me generate labels. Their support is very good, highly recommend it. ### 10. Great tool for data scientists **Rating:** 5.0/5.0 stars **Reviewed by:** Sumit S. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 23, 2024 **What do you like best about Labellerr?** Tool is built keeping the needs of training ML model at centre. The UI is easy and can be very well customized. **What do you dislike about Labellerr?** Nothing in particular. The tool is good to use. **What problems is Labellerr solving and how is that benefiting you?** The tool help us annotate text data for building NLP model. ### 11. Labeling solution **Rating:** 4.5/5.0 stars **Reviewed by:** Manu G. | Founder and CEO, Education Management, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2024 **What do you like best about Labellerr?** The team is always available. They are responsive **What do you dislike about Labellerr?** Nothing as such. I have some recommendations which I have shared with the team **What problems is Labellerr solving and how is that benefiting you?** We are exploring lobellerr as data labeling option ### 12. Prompt based AI assisted labelling software **Rating:** 3.0/5.0 stars **Reviewed by:** Shaikh S. | Software QA Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 27, 2023 **What do you like best about Labellerr?** A good tool for annotation. Can easily annotate the images in a faster way. Able to bring images, videos, and PDFs in one place without thinking of multiple tools. **What do you dislike about Labellerr?** Nothing as of now. A good tool for annotation. Should have undo option. **What problems is Labellerr solving and how is that benefiting you?** less time required to rectify objects. It is really fast in identifying objects easily. ### 13. Labellerr **Rating:** 5.0/5.0 stars **Reviewed by:** Stavroula P. | Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Labellerr?** Labellerr is designed to handle large datasets and can scale to accommodate high annotation volumes. Its infrastructure ensures smooth performance even with extensive data and concurrent users, allowing you to efficiently annotate large-scale projects. **What do you dislike about Labellerr?** While Labellerr offers integration capabilities with popular machine learning frameworks, it may not have direct integrations with all the tools or platforms you use in your machine learning workflows. This could result in additional effort and manual steps required to transfer annotated data to your preferred tools. **What problems is Labellerr solving and how is that benefiting you?** Labellerr provides tools for annotating keypoints or landmarks on images. This can be beneficial for tasks such as pose estimation, facial recognition, or any application that requires precise localization of specific points of interest. ### 14. The next gen data annotation tool for all kinds of data points, especially images **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 04, 2024 **What do you like best about Labellerr?** Easy to use for image annotation task Scalable Ease of integration **What do you dislike about Labellerr?** Data latency sometimes with huge image sizes **What problems is Labellerr solving and how is that benefiting you?** We are looking at object detection project which is easy to start and get trained on. We were thinking about data privacy,good quality and speed and these boxes are ticked by Labellerr. ### 15. It is very easy to smoothly annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Shiuli G. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** This software is best for me because it is fast working to every object to smooth annotation. **What do you dislike about Labellerr?** Lebellerr is very useful and helpful software for me so nothing to say for dislike this software. **What problems is Labellerr solving and how is that benefiting you?** Lebellerr is solving all hard annotation to smooth and fast working so it is easy way to use for me ### 16. It is very good for me **Rating:** 5.0/5.0 stars **Reviewed by:** Laxmi J. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** It is a helpfull software which is given us the easy way to use this. **What do you dislike about Labellerr?** There is no option to dislike Labellerr, because on it's own way it is doing great. **What problems is Labellerr solving and how is that benefiting you?** We get here the fast annotation process and the benefit is it is very easy to access. ### 17. It is easy to use and very easy to understand. **Rating:** 5.0/5.0 stars **Reviewed by:** Ahana K. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** We can annotate evey object very fast and correctly. **What do you dislike about Labellerr?** There is nothing to dislike it is very useful software. **What problems is Labellerr solving and how is that benefiting you?** It's work very fast..We are able to rectify objects by this software. ### 18. Labellerr is very usefull and fast software for use. **Rating:** 5.0/5.0 stars **Reviewed by:** Puja S. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** It is a fast and furious app for work and doing very easy. **What do you dislike about Labellerr?** there is nothing to dislike,its vety easy and fast. **What problems is Labellerr solving and how is that benefiting you?** By Labellerr annotation doing very accuratelly. ### 19. Best AI Software **Rating:** 5.0/5.0 stars **Reviewed by:** Neha D. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** Very usefull software for data labeling. **What do you dislike about Labellerr?** I haven't seen any bad ones so far.there is nothing to dislike. **What problems is Labellerr solving and how is that benefiting you?** Labellerr reduces time to lable images. ### 20. Its very fastest software **Rating:** 5.0/5.0 stars **Reviewed by:** Akash D. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2023 **What do you like best about Labellerr?** Labeller is very usefull software for data labelling. **What do you dislike about Labellerr?** I haven't seen anything to dislike so far. **What problems is Labellerr solving and how is that benefiting you?** Labeller reduces time to lable images. ### 21. A very good and advanced data labeling platform . **Rating:** 4.5/5.0 stars **Reviewed by:** Fazil P. | Senior Manager- Business Development, Mid-Market (51-1000 emp.) **Reviewed Date:** July 05, 2023 **What do you like best about Labellerr?** Labeller platform is very user friendly and good for even beginners **What do you dislike about Labellerr?** It would be better if an UNDO option is implemented **What problems is Labellerr solving and how is that benefiting you?** For more precise data annotation - [View Labellerr pricing details and edition comparison](https://www.g2.com/products/labellerr/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-04+06%3A21%3A30+-0500&secure%5Bsession_id%5D=e39f2b4a-3a6a-4e4b-a562-91ba3f318e6c&secure%5Btoken%5D=ccc8dd77a0aa0fb9edd8cecc650b85f4967ebc279891b842d462f463a109c914&format=llm_user) ## Labellerr 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 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 **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 **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 Labellerr Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (756 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (772 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews)