YOLOv3: An Incremental Improvement

[CVPR 2017]YOLO9000: Better, Faster, Stronger

📷 | DarkNet19, DarkNet53, DarkNet53-ELASTIC and CSPDarkNet53 Implementation using PyTorch

Implemented a novel deep joint network to perform both super-resolution and detection simultaneously using multi-scale GAN framework which attains superior results against the state-of-the-art methods.

Yolov3 with multi backbone

yolov3 with mobilenetv2 and efficientnet

Yolo Implementation (v1, v2, v3)

Deep Learning model for Self-Driving Cars to reduce accidents with high accuracy in classification of 99.2% and detection of 93%.

PyTorch implementation of Darknet53

To detect Number Plates from an image.

This is a project built with Python3 to detect on-road vehicles from Dash cameras in cars. I have used Keras and TensorFlow as background. The algorithm I have used is YOLOv3.

Diving into Object Detection and Localization with YOLOv3 and its architecture, also implementing it using PyTorch and OpenCV from scratch.

Yet another YOLOv3 implementation

Pytorch Implementation of CSPDarknet53

Modifies Darknet to determine if social distancing is followed based on aerially captured images/videos.

基于YOLOv3的口罩佩戴识别（识别是否佩戴了口罩），使用MFC制作了客户端

Re-implementation of YoloV3 paper in Tensorflow 1.X

Replace draknet with mobilenet in pytorch