Imagenet

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Master Federated Learning in 2 Hours—Run It on Your PC!

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

Partial Masking for Discrete Diffusion Models

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

[CVPR] MergeVQ: A Unified Framework for Visual Generation and Representation with Token Merging and Quantization

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation