# Fashion Item Detection

Vision Transformer (ViT)-based clothing image classification model with approximately 78% accuracy

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.

A fashion object detection model fine-tuned from microsoft/conditional-detr-resnet-50, specifically designed for detecting fashion items

Object detection model trained on the Fashionpedia dataset for fashion item recognition and classification