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CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Node-based Visual Programming Toolbox
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A python library for self-supervised learning and latent world models on images.
Visual tracking library based on PyTorch.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
The PASS dataset: pretrained models and how to get the data