Ango Hub vs. LabelMe Comparison


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About Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.	About The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Organization of images into collections: You can organize the images into collections. You can also create collections inside collections just as you would do with folders. When you download your database, the collections will be organized into folders. Uploading and image annotation: You can upload images into your collections and annotate your images using the online LabelMe annotation tool. Unlisted collections are ones that anyone can view if they have access to the URL, but will not be displayed in the set of public folders. As the goal of LabelMe is to provide a tool for research, the images and annotations are expected to become available to the research comunity without restrictions.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience AI teams and Computer Vision team in organizations of all sizes, AI researchers in academia and individuals needing to label data with high quality or do model evaluation.	Audience Web-based image annotation tool that allows researchers to label images and share the annotations with the world
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free version allows users to invite up to 5 people and annotate 10k assets. Paid Cloud version allows for unlimited assets, with a charge for every 5 users. For on-premise installation contact us for pricing. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 4.7 / 5 features 5.0 / 5 design 4.3 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros The team was really involved in helping us work and interact with the platform. Feedback for data labelling was very good. The platform has a good free tier, for many small projects you may not even need to upgrade to the higher tiers. It’s solid, we use it from the cloud and we had no problems importing all of our assets from S3. Our project is in the customer satisfaction sector and Ango Hub provides relations between audio and text annotations, as far as I know I didn’t see other platforms with this functionality. - Platform supports text, PDF, image, audio, and video - Support responds very quickly - Having an API is a neat addition - It has some more obscure labeling types like rotated bounding boxes which we actually ended up needing - AI labeling assistance options - Generous free trial Cons There was no aspect we did not like. It was a great experience. There are AI assistance options such as automated recognition of objects and polygons, but all of them are for images. If you are labeling text or audio, sadly there is no AI assistance. Importing files from cloud storage was smooth but it required us to make our own JSON file. That is a one-time process though. - Importing data from cloud storage is not an instant process - Doesn’t look too great on mobile
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information iMerit Founded: 2013 Silicon Valley imerit.ai/products/ango-workflow-automation-by-imerit/	Company Information LabelMe labelme.csail.mit.edu/Release3.0/
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Categories AI Fine-Tuning Artificial Intelligence Computer Vision Data Annotation Data Labeling Image Annotation LLM Evaluation RLHF Video Annotation	Categories Image Annotation
Show More Features Artificial Intelligence Features Chatbot For eCommerce For Healthcare For Sales Image Recognition Machine Learning Multi-Language Natural Language Processing Predictive Analytics Process/Workflow Automation Rules-Based Automation Virtual Personal Assistant (VPA) Computer Vision Features Blob Detection & Analysis Building Tools Image Processing Multiple Image Type Support Reporting / Analytics Integration Smart Camera Integration Data Labeling Features Human-in-the-loop Labeling Automation Labeling Quality Performance Tracking Polygon, Rectangle, Line, Point SDK Supports Audio Files Task Management Team Collaboration Training Data Management
Integrations AWS AI Services Azure Blob Storage Azure Databricks Google Cloud AI Infrastructure Snowflake View All 5 Integrations	Integrations AWS AI Services Azure Blob Storage Azure Databricks Google Cloud AI Infrastructure Snowflake
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