YOLOv4 is a deep learning model that utilizes convolutional neural networks (CNNs) and a single-shot detection approach, meaning that it processes the entire image at once to detect objects instead of ...

General Repository for Yolov4_Darknet & Tensorflow Object Detection This is my main object detection pipeline where you can train a model from scratch with darknet and further port it to Tensorflow if ...

This research work proposes a computer vision-based object detection system. It can recognize each and every object visible in the picture. Horizontal boundary boxes were used to detect different ...

An improved UAV object detection method based on YOLOv4 is proposed in this paper for the problems faced by UAV vision detection, such as small targets, multiple scales, and complex backgrounds. First ...

Frigate, one of the most popular open-source options for home IP camera management, just released a massive update. Frigate 0.16 now has better object detection, license plate recognition, view-only ...