# Lightweight Object Detection

A fashion object detection model fine-tuned based on YOLOS-tiny, specifically designed to detect 7 categories of fashion items such as bags, bottoms, dresses, etc. Trained on the ModaNet and Fashionpedia datasets, achieving an mAP of 0.697.

LeYOLO is an object detection model based on the YOLO architecture, offering multiple size versions (nano, small, medium, large) suitable for real-time object detection tasks.

LeYOLO is an object detection model based on the YOLO architecture, offering four scales: nano, small, medium, and large

YOLOS-tiny is a lightweight object detection model based on the Transformer architecture, suitable for real-time object detection tasks.