HopitAI

HopitAI builds open-source fashion intelligence models for visual search, product matching, catalog retrieval, and ecommerce discovery.

MODA Fashion Retrieval

MODA is a family of fashion retrieval models covering both halves of the problem: finding products from an image, and finding products from a text description. Every model and result is MIT licensed and reproducible from the public repository.

Try the interactive demo · View the GitHub repo · Start with DeepFashion2

Featured Models

Quick Start

Image to image, for finding visually similar products:

huggingface-cli download HopitAI/moda-fashion-deepfashion2 --local-dir ./moda-fashion-deepfashion2

import open_clip

model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms(
    "hf-hub:HopitAI/moda-fashion-deepfashion2"
)

Text to image, for searching a catalog in plain language:

pip install "git+https://huggingface.co/HopitAI/moda-fashionsiglip-multiview-203m"

from moda_fashionsiglip_multiview import ModaFashionSigLIP

retriever = ModaFashionSigLIP.from_pretrained()
index = retriever.build_index(image_paths, item_ids=item_ids)
results = retriever.search("red floral summer dress", index, top_k=5)[0]

Use Cases

• Search a fashion catalog with a natural-language query.
• Find visually similar products in a fashion catalog.
• Match street-style looks to shoppable items.
• Deduplicate product images across marketplaces.
• Build embedding indexes for ecommerce search and recommendations.