Ultralytics YOLO 🚀
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
Implementation of popular deep learning networks with TensorRT network definition API
🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Images to inference with no labeling (use foundation models to train supervised models).
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.
Turn any computer or edge device into a command center for your computer vision projects.
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
MetaSeg: Packaged version of the Segment Anything repository
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