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yolo

The ImagesAnnotator application project` annotations format data exporters library for NN training software

Real-time theft detection system using YOLOv8/v11 pose estimation on CCTV feeds

Detect and classify objects in Panoramax pictures

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

GitHub: https://github.com/ultralytics/ultralytics

https://platform.ultralytics.com

Analysis and reports of detection dataset

Free, open-source (AGPL) mosaic restoration for Windows: detects pixelated regions in video and restores them with a temporal model, plus whole-frame upscaling. One source tree, three editions: NVIDIA RTX (TensorRT, NVDEC/NVENC, RTX Super-Res), AMD Radeon (PyTorch ROCm, AMF) and Intel Arc (PyTorch XPU, Quick Sync). Desktop UI with Test Frame preview, folder batches, 4K/VR (SBS, fisheye) support, VRAM preflight, custom super-resolution models with TensorRT compilation. Installers and patches on the Releases page; the GitHub repos (seatv/ChitraMaya, -AMD-ROCM, -Intel-ARC) are mirrors of this one.

Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.

GitHub: https://github.com/ultralytics/skills

https://www.ultralytics.com

Official Python SDK for the Ultralytics Platform API

GitHub: https://github.com/ultralytics/sdk

https://platform.ultralytics.com/api/docs

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

GitHub: https://github.com/ultralytics/inference

https://docs.ultralytics.com/inference

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

GitHub: https://github.com/ultralytics/yolo-flutter-app

https://pub.dev/packages/ultralytics_yolo

Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

GitHub: https://github.com/ultralytics/yolo-ios-app

https://apps.apple.com/app/ultralytics-yolo/id1452689527

Ultralytics model comparison docs and automated QA for websites, links, spelling, sitemaps, and image sizes.

GitHub: https://github.com/ultralytics/docs

https://docs.ultralytics.com

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

GitHub: https://github.com/ultralytics/yolov3

https://docs.ultralytics.com/models/yolov3/

Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.

GitHub: https://github.com/ultralytics/replicate

https://replicate.com/ultralytics/yolo11n

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

GitHub: https://github.com/ultralytics/notebooks

https://docs.ultralytics.com

Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.

GitHub: https://github.com/ultralytics/assets

https://docs.ultralytics.com

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

GitHub: https://github.com/ultralytics/yolov5

https://docs.ultralytics.com/yolov5/

Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.

GitHub: https://github.com/ultralytics/JSON2YOLO

https://docs.ultralytics.com

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolo26

https://platform.ultralytics.com/ultralytics/yolo26

Ultralytics YOLO11 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolo11

https://platform.ultralytics.com/ultralytics/yolo11