What is Supervisely?
Supervisely is a comprehensive platform designed for computer vision tasks. It offers a unified environment for curating, labeling, training, evaluating, and deploying models for various data types, including images, videos, 3D point clouds, and medical imagery.
The platform provides best-in-class labeling tools, AI-assisted labeling, and data management capabilities to ensure high-quality training data. It supports custom workflows, labeling jobs, and quality metrics. Supervisely also integrates with various data sources and offers features for collaboration, data curation, and model deployment. The platform is suitable for businesses, researchers, and labeling teams.
Features
- Image labeling: Ultimate annotation suite for images.
- Video labeling: AI tracking and segmentation for videos.
- 3D Clouds & LiDAR: Sensor fusion and episodes for 3D data.
- DICOM & Volumetric: Medical multi-slice scans.
- Labeling automation: Interactive AI-assistance.
- Data management: Manage and organize computer vision data.
- User collaboration: Facilitates team collaboration.
- Neural networks: Train, serve, apply, and improve models.
- API and SDK automation: Automate via API.
- AI-Assisted Labeling: Speed up annotation.
Use Cases
- Developing AI models for lung CT scans.
- Quality inspections using deep learning in manufacturing.
- Creating training data for various computer vision modalities.
- Object detection, tracking and segmentation in images and video
- Manage annotation projects
FAQs
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Is Supervisely free?
Supervisely is free for non-commercial usage, researchers or small teams. For businesses and enterprises we offer the Pro and Enterprise plans. -
Are my uploads private to my team?
Yes! All your data is yours — apart from other platforms, we do not publish, access or use it in any other way. -
Can I install Supervisely on my server?
Sure thing! Check out our on-premise Enterprise Edition — it includes priority support, advanced security and many other things you need.
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Supervisely Uptime Monitor
Average Uptime
100%
Average Response Time
172.75 ms
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