Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
Repository Index
47,133 repositories indexed
1–13 of 13 · Most stars
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
OpenMMLab Detection Toolbox and Benchmark
- object-detection
- instance-segmentation
- fast-rcnn
- faster-rcnn
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
An open source tool to quantify the world
tensorflow implementation of 'YOLO : Real-Time Object Detection'
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
YOLOv5 - most advanced vision AI model for object detection. Natively implemented in PyTorch and exportable to TFLite for use in edge solutions.