# E-commerce Visual Search

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

FashionCLIP is a vision-language model based on CLIP, specifically fine-tuned for the fashion domain, capable of generating universal fashion product representations.

FashionCLIP is a vision-language model fine-tuned specifically for the fashion domain based on CLIP, capable of generating universal product representations.