you-only-look-once

YOLO for object detection tasks

YOLO: You only look once real-time object detector

tfyolo: Efficient Implementation of Yolov5 in TensorFlow

Real-time multi-person tracker using YOLO v3 and deep sort

Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5

Traffic Sign Detection Training using YOLOv3

Application of pre-trained YOLO object detection model to car detection for autonomous driving

C# Object Detection using Tiny YOLO using AlbiruniML Library

yolov3 model in pytorch implementation, customized for single class training and testing

YOLOv3 Model for Seabird Detection and Counting

Includes the YOLO-weight files to detect dolpins

This project was part of autonomous vehicle detection systems. I worked on the vehicle detection part using YOLO v4

Perception pipeline to compare different method for Single Person Detection and Tracking

This application focuses on detecting parking spot availability using the YOLO V8 architecture, leveraging a labeled dataset of parking lot images under various weather conditions for smart parking, traffic management, and resource optimization applications.

This repository trains a dataset of children's drawings to classify their psychological health using pretrained models (EfficientNetB0, EfficientNetB1, MobileNetV2, ResNet50, and YOLOv8n-cls). The best model is chosen for use in web or mobile apps for real-time analysis.

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

Yolo algorithm applied on a video file so as to detect cars, traffic lights and a few other classes.

This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball on the football.

Brain tumor segmentation using YOLO architecture for fast and accurate detection.