Data Labeling
The best Data Labeling Products based on votes, our collection of reviews, verified products and a total of 208 factors.
Best Data Labeling Products in 2025
- Open-Source Data Labeling products
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Build computer vision products for the real world.
Key Labelbox features:
User-Friendly Interface Collaboration Tools API Integration Comprehensive Annotations
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AI-powered website builder that helps you create professional sites in minutes.
Key Mixo features:
No Code Builder Custom Designs and Styles Integrations AI Forms
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Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
Key Playment features:
Scalability Accuracy Customization User-Friendly Interface
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Human-powered Data Processing for AI and Automation.
Key CloudFactory features:
Scalability Quality Assurance Global Workforce Cost Efficiency
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Multi-sensor labeling platform for robotics and autonomous driving.
Key Segments.ai features:
Image Segmentation Image Vector Labeling Point Cloud Segmentation Point Cloud Vector Labeling
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Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Key Supervisely features:
Comprehensive Toolset Collaborative Platform High Customizability Extensive Dataset Support
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Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Key V7 features:
User-Friendly Interface Advanced Annotation Tools Collaboration Features Integration Capabilities
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Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset.
Key Universal Data Tool features:
User-Friendly Interface Versatility Open Source Collaborative Features
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Enterprise crowdsourcing for micro-tasks.
Key CrowdFlower features:
Scalability Cost-effectiveness Quality Control Flexibility
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Empowering Enterprises with Custom LLM/GenAI/CV Models. .
Key SuperAnnotate features:
Visual discovery Trend analysis Secure data storage Real-time monitoring
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The online market place for work.
Key Amazon Mechanical Turk features:
Large Workforce Cost-Effective Scalability Flexibility
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Data Labeling Outsourced Service: get your ML training datasets cheaper and faster! .
Key ByteBridge.io features:
Cost-effectiveness Scalability Quality Assurance User-friendly Interface
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Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.
Key Labeling AI features:
AI Powered AI Images Video
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Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat.
Key Computer Vision Annotation Tool (CVAT) features:
Open Source Rich Annotation Features User-Friendly Interface Collaboration and Multi-User Support