Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. 💜
OpenMMLab Detection Toolbox and Benchmark
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
YOLO ROS: Real-Time Object Detection for ROS
An open source tool to quantify the world
High level network definitions with pre-trained weights in TensorFlow
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Real-time object detection on Android using the YOLO network with TensorFlow
Prototype of an intelligent safety system for detecting driver drowsiness