A comprehensive toolkit for converting image classification datasets into object detection datasets and training them using YOLOv8. This project streamlines the process of dataset preparation, augmentation, and training, making it easier to leverage YOLOv8 for custom object detection tasks.

Sweet pepper detection+segmentation+tracking via YOLOv8 for ROS1

Sign Language Detection with YOLOv8 on Raspberry Pi

This counts people and objects in real-time from footages and livestream and work upon the data.

Computer Vision Tasks

A Visionary-Sign-Detector utilizing Gemini AI for nuanced traffic sign interpretation in ADAS.

Copra Quality Detection GUI using YOLOv8

Annotate tools

Tutorial on how to use Ultralytics inside Docker in VS Code

This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.

Raspberry Pi and YOLOv8: Real-time object tracking for efficient surveillance.

Computer vision AI enables machines to interpret and understand visual information from images or videos, mimicking human vision. It involves image recognition, object detection, and scene analysis, enhancing automation, surveillance, and various applications.

CrisisVision is an autonomous vehicle built to survey the world's most dangerous frontiers

Automatic Tiger Surveillance using YOLOv8 and EnlightenGAN aimed for Tiger Conservation

YOLOv8 ile Nesne Tespiti ve Görüntü İşleme Eğitimi (Custom Object Detection and Image Processing Training with YOLO-v8)

Implementing YOLOv5 for fire detection, blazing through images with precision. Harnessing deep learning to swiftly identify flames, safeguarding lives and properties.

My YOLOv8 learning pathway. Just for fun! You only look (live) once

A computer vision project for identifying license plates (number plates) of cars and showing the actual number (in process)

A simple flask web app that performs real-time object detection in video using YOLOv5 ultralytics.

Forest Fire Detection Application Using Ultralytics YOLOv8.