YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Implementation of popular deep learning networks with TensorRT network definition API

PyTorch ,ONNX and TensorRT implementation of YOLOv4

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

A PyTorch implementation of the YOLO v3 object detection algorithm

MOT using deepsort and yolov3 with pytorch

🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

YoloV3 Implemented in Tensorflow 2.0

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Collaboration with wangxupeng(https://github.com/wangxupeng)

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

🙄 Difficult algorithm, Simple code.