A Python tool for managing YOLO datasets, including YOLOv5, YOLOv8, YOLOv11 and other Ultralytics-supported models. It streamlines tasks like dataset combination, data augmentation, class removal, and annotation visualization supports bounding box and segmentation formats, making it an essential tool for developers and researchers.

Mask Detection Dataset for yolo annotated by using https://github.com/tzutalin/labelImg

datasets generation for deep learning

This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for its speed and accuracy, making it suitable for real-time applications.

This repository contains different random scripts for machine learning dataset preparations.

applies mosaic augmentation on YOLO format dataset

Simple dataset creator in COCO-format.

WIP. Tools to convert between dataset formats, image splitting for object detection.

Object Detection Dataset Format Converter

I created a Python script to convert the YOLO format dataset labeled dataset into KITTI format using ChatGPT o1-mini.