Struggling to choose between Supervisely and Computer Vision Annotation Tool (CVAT)? Both products offer unique advantages, making it a tough decision.
Supervisely is a Ai Tools & Services solution with tags like nocode, annotation, neural-networks, computer-vision, machine-learning.
It boasts features such as Image annotation, Video annotation, 3D annotation, Model training, Model deployment, Collaboration, Version control, Integrations and pros including No-code platform, Streamlines computer vision workflows, Robust annotation capabilities, Built-in model training, Team collaboration features, Integrates with popular frameworks.
On the other hand, Computer Vision Annotation Tool (CVAT) is a Ai Tools & Services product tagged with image-annotation, video-annotation, computer-vision, open-source.
Its standout features include Image, video and 3D point cloud annotation, Multiple user management with different roles, Predefined tags and automatic annotation, Interpolation of bounding boxes across frames, Review and acceptance workflows, REST API, Integration with deep learning frameworks, and it shines with pros like Open source and free, Active development and support community, Powerful annotation capabilities, Collaborative workflows, Integrates with popular ML/DL frameworks.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
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.
CVAT is an open source computer vision annotation tool for labeling images and video. It allows for collaborative annotation of datasets with features like predefined tags, interpolation of bounding boxes across frames, and review/acceptance workflows.