Tools for darknet, created by Yu-Hsien Liao (LiaoSteve)
Korean License Plate Recognition with Tensorflow YOLOv4 and LPRnet
Image recognition for Javanese script using YOLOv4 Darknet and HD-CNN. This project uses YOLOv4 as the object detector, and each detected object will be classified by HD-CNN.
Covid-Detection-from-electron-microscopic-images-and-videos-Using-Computer-Vision-and-object-detection-algorithm-yolov4
This repository hosts an Object Detector implemented using YOLOv4. Trained to recognize five classes—Person, Bird, Animal, Building, and Tree—it enables accurate and swift object detection and tracking.
Fursuit detector (diet coke version)
split data into train test split - yolo format (images & txt )split
Project developed to identify personal info such as credit card numbes, addresses etc in images .
Convert the YOLOv4 Darknet format txt files to AutoML csv format for Cloud AutoML Vision Object Detection.
Tools for machine learning. It helps to do "augmentation", "label images" with yolo pre-trainned model, and others...
Vehicle-Identification-from-Traffic-Videos-Surveillance Using-Computer-Vision-and-object-detection-algorithm-yolov4
Automatic number plate recognition (ANPR) with the particularity that it was trained with 7200+ images of Argentine license plates.
Notes on training and deploying a Darknet YOLO v4 model on Azure.
YOLT (You Only Look Twice) - a tool that attempts to improve the accuracy of YOLOv4 in images
Creating datasets in YOLO format using pretrained YOLO model in Darknet framework which could be used to train the model further
Bu video bir proje tanıtım videosudur. Projede python programlama dilinde makine öğrenmesi (machine learning) ve görüntü işleme (computer vision OpenCV) kullanılarak orman yangınlarında eş zamanlı olarak duman ve ateş tespiti yapılmıştır.
helmet(hard hat) detection with yolov4
This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.
Add a description, image, and links to the yolov4-darknet topic page so that developers can more easily learn about it.
To associate your repository with the yolov4-darknet topic, visit your repo's landing page and select "manage topics."