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

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.

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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

Includes the YOLO-weight files to detect dolpins

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

YOLOv3 Model for Seabird Detection and Counting

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

Successfully developed an object detection model using YOLOv8 to detect the images of fruits.

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

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

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

A project implementing the architecture presented in the paper "You Only Look Once"

Successfully developed a real-time soccer player re-identification and tracking system using YOLOv11 and Deep SORT with TorchreID-based embeddings.

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.

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.

K-Vehicles: A Remote Sensing Dataset for Vehicle Detection in Aerial Imagery [GeoCV@WACV 2026]

Successfully developed an object detection model using YOLOv8 to identify safety equipment and personnel on construction sites, enhancing on-site safety compliance and monitoring.

Successfully developed an object detection model using YOLOv8 to accurately identify and localize tomatoes in images, supporting agricultural automation and yield monitoring tasks.

This repository contains the implementation of YOLOv26 l-seg model for pothole image segmentation.

Step-by-step guide to earn the yolo badge! ✨