This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite

Food calorie estimations Using Deep Learning And Computer Vision

helmet(hard hat) detection with yolov4

Creating datasets in YOLO format using pretrained YOLO model in Darknet framework which could be used to train the model further

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

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.

Training and fine-tuning YOLOv4 Tiny on custom object detection dataset for Taiwanese traffic

A tutorial on how to train a YOLOv4 vehicle detector using Darknet and the RoundaboutTraffic dataset on a NVIDIA Jetson Nano.

Notes on training and deploying a Darknet YOLO v4 model on Azure.

People tracking in crowded locations using multiple object Tracking (MOT)

This repository contains an implementation of YOLOv4 in the context of Detecting People Wearing Mask

Convert the YOLOv4 Darknet format txt files to AutoML csv format for Cloud AutoML Vision Object Detection.

Tools for darknet, created by Yu-Hsien Liao (LiaoSteve)

split data into train test split - yolo format (images & txt )split

Vehicle-Identification-from-Traffic-Videos-Surveillance Using-Computer-Vision-and-object-detection-algorithm-yolov4

Tools for machine learning. It helps to do "augmentation", "label images" with yolo pre-trainned model, and others...

Multiple Object Tracking in video Using Deep learning

Ford Otosan Internship Project 2021 || Traffic Sign Detection and Recognition.

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.

Automatic number plate recognition (ANPR) with the particularity that it was trained with 7200+ images of Argentine license plates.

Project on chopsticks detection and hand tracking

Korean License Plate Recognition with Tensorflow YOLOv4 and LPRnet

With the YOLOv4-Darknet model, you can follow the instructions for object detection and tracking and benefit from the repo. Repository files and codes were created by examining and compiling many different repository.

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.

Darknet YOLOv4 easy installation

Front end for mussel detection

Project developed to identify personal info such as credit card numbes, addresses etc in images .

This project utilizes deep learning techniques to identify cable breaks and thunderbolts in images

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