7.7
Spot Score
Efficient data labelling for companies on-the-go.
User Ratings
Main Features
Pricing
Ango Hub offers custom pricing plan
Showing 1-3 out of 3
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Product Description
Keylabs is the ultimate data annotation tool for machine learning. With our advanced, performance-oriented, and user-friendly platform, you can quickly and easily prepare visual data for ML research and production. Our platform incorporates an operation management system and annotation tools in ...
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Annotation and Markup Tools
Unique Features
Segmentation
Support Audio / Images / Video
Video
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Pricing
Free Trial available, Try Now
Starts from $1,200
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Product Description
With Datasaur, you can expect timely project responses and a boost in model performance. Renowned companies like Adobe, Netflix, Deloitte, Zoom, and Stanford University rely on Datasaur for audio and text labelling. This powerful tool offers automatic data labelling, cutting data errors in half ...
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Task Management
Unique Features
Labeling
Product Reviews
Secure Data Storage
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Pricing
Starts from $100/Month, also offers free forever plan
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Product Description
Labellerr is the ultimate solution for efficient labelling of large data sets with the added advantage of tracking crowdsourcing and freelance data labelling services. It provides a seamless experience to enhance the productivity of workers while maintaining the quality of work. By utilizing ...
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Task Management
Annotation and Markup Tools
Unique Features
Secure Data Storage
Dashboard
Workflow Management
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Pricing
Starts from $49/Month, also offers free forever plan
This software is researched and edited by
Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
