Supervisely
This data labeling software offers a robust suite of tools for creating high-quality training data across diverse modalities, including images, videos, and medical imagery. Equipped with advanced AI-assisted annotation, it enables seamless integration with cloud storage, rapid annotation of vast datasets, and iterative model training, ensuring precision and efficiency in computer vision projects.
Top Supervisely Alternatives
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This data labeling software enhances AI training through pixel-accurate annotation tools.
BasicAI
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Heartex
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T-Rex Label
T-Rex Label revolutionizes the annotation process by automatically generating bounding boxes with a single click.
UHRS (Universal Human Relevance System)
The Universal Human Relevance System (UHRS) offers a versatile crowdsourcing platform for data labeling tasks.
Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth streamlines the creation of high-quality training datasets by integrating human feedback throughout the machine learning lifecycle.
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Scale Data Engine
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Nomic Atlas
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Sama
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Nexdata
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Top Supervisely Features
- Pixel-accurate labeling tools
- AI-assisted annotation tools
- Dedicated video annotation suite
- Advanced object tracking models
- Seamless LiDAR and RADAR integration
- Smart Tools for quick labeling
- Custom model integration options
- Extensive data import formats
- Natural language filtering capabilities
- Visualization with embedding plots
- Heatmaps for dataset insights
- Human-in-the-loop framework
- Automated model performance reports
- Version comparison metrics tools
- Flexible cloud or self-hosted deployment
- Efficient data management capabilities
- Customizable access roles and monitoring
- Responsive expert support team
- Comprehensive computer vision lifecycle management
- Turnkey solution for AI projects.
