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Marqo Fashionsiglip

Developed by Styld
A fine-tuned fashion multimodal retrieval model based on ViT-B-16-SigLIP, specializing in fashion product search
Downloads 39
Release Time : 8/21/2024

Model Overview

This model utilizes Generalized Contrastive Learning (GCL) and can be trained based on various features such as text descriptions, categories, styles, colors, etc., providing highly relevant search results for fashion products

Model Features

Generalized Contrastive Learning
Supports training based on various features including text descriptions, categories, styles, colors, materials, etc.
Fashion Domain Optimization
Specially fine-tuned for fashion product search scenarios, delivering more accurate retrieval results
Multimodal Support
Supports both image and text inputs, enabling cross-modal retrieval

Model Capabilities

Zero-shot image classification
Text-to-image retrieval
Image-to-text retrieval
Fashion product search
Multimodal feature extraction

Use Cases

E-commerce
Fashion Product Search
Search for relevant fashion products based on text descriptions or categories
Outperforms similar models on multiple fashion datasets
Visual Similarity Search
Find fashion products with similar styles based on example images
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