Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

an experiment for yolo-v1, including training and testing.

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Darknet2ncnn converts the darknet model to the ncnn model

PyTorch implementation of YOLO-v1 including training

Detect vehicles in a video

This code is an implementation of a trained YOLO neural network used with the TensorRT framework.

yolov1,v2 a minimal tutorial-like implementation on PyTorch

implement yolo v1

Low Precision(quantized) Yolov5

YOLT (You Only Look Twice) - a tool that attempts to improve the accuracy of YOLOv4 in images

YOLO v1 paper review and code implementation from aladdinpersson

Simple implementation of yolo v1 and yolo v2 by TensorFlow

YOLOv1 implementation with TensorFlow2

⚗ YOLO v1 PyTorch Implementation

YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).

convert pytorch trained yolo model to ncnn for Flexible deployment