image-classification

VisionHOPE

+338

Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.

ultralytics

+191

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

VisionState

+40

Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.

X-AnyLabeling

+69

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

label-studio

+47

Label Studio is a multi-type data labeling and annotation tool with standardized output format

cvat-ai/cvat

+47

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.

yolov5

+49

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

fiftyone

+28

Refine high-quality datasets and visual AI models

pytorch-image-models

+23

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