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

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

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

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

YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.

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

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

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