Supervisely
Supervisely is a no-code platform for computer vision and machine learning. It allows users to annotate data, train neural networks, and deploy models without coding. Supervisely streamlines computer vision workflows.
nocode
annotation
neural-networks
computer-vision
machine-learning
Supervisely: No-Code Computer Vision & Machine Learning Platform
Supervisely is a no-code platform for computer vision and machine learning. It allows users to annotate data, train neural networks, and deploy models without coding. Supervisly streamlines computer vision workflows.
What is Supervisely?
Supervisely is a no-code platform designed to make computer vision and machine learning more accessible. It provides a complete set of tools for annotating data, training neural networks, and deploying models without the need for coding.
Some key features of Supervisely include:
- Intuitive web-based interface for image, video, and 3D data annotation.
- Pre-trained models for common computer vision tasks like classification, object detection, segmentation, etc.
- Ability to train custom neural networks using annotated datasets.
- Model training on GPUs for faster training times.
- Tools to monitor model performance and compare different iterations.
- Auto-generated APIs to integrate finished models into applications.
- Collaboration features to work with teams on large annotation and model training projects.
Supervisely eliminates much of the complexity involved in building computer vision models. Its drag-and-drop interface abstracts away the coding and infrastructure requirements, allowing users to focus on data collection and model training. This makes it easier for non-technical domain experts to apply computer vision to real-world problems.
Supervisely Features
Features
- Image annotation
- Video annotation
- 3D annotation
- Model training
- Model deployment
- Collaboration
- Version control
- Integrations
Pricing
- Freemium
- Subscription-Based
Pros
No-code platform
Streamlines computer vision workflows
Robust annotation capabilities
Built-in model training
Team collaboration features
Integrates with popular frameworks
Cons
Steep learning curve
Limited customization without coding
No on-premise deployment option
Official Links
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