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MODA Fashion Search
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Try and compare HopitAI MODA fashion retrieval models.
AI & ML interests
Multimodal reasoning
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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 image retrieval models designed to turn product and outfit images into useful embeddings for similarity search.
Try the interactive demo · View the GitHub repo · Start with DeepFashion2
Featured Models
| Model | Best for |
|---|---|
| MODA-Fashion-Distilled | Best overall quality |
| MODA-Fashion-Distilled-512d | Compact vector search indexes |
| MODA-Fashion-DeepFashion2 | Simple reproducible recipe |
| MODA-Fashion-Vision-FP16 | Smaller edge and mobile deployment |
| MODA-Fashion-Matryoshka | Flexible embedding dimensions |
Quick Start
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"
)
Use Cases
- 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.
models 5
HopitAI/moda-fashion-distilled-512d
Image Feature Extraction • 0.2B • Updated • 7
HopitAI/moda-fashion-vision-fp16
Image Feature Extraction • Updated • 6
HopitAI/moda-fashion-deepfashion2
Image Feature Extraction • Updated • 47 • 1
HopitAI/moda-fashion-matryoshka
Image Feature Extraction • Updated • 24
HopitAI/moda-fashion-distilled
Image Feature Extraction • Updated • 75
datasets 0
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