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Yolos Fashionpedia
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Yolos Fashionpedia
Developed by valentinafeve
This is a fine-tuned object detection model for the fashion domain, based on the YOLOS architecture, capable of recognizing and localizing fashion items and their details.
Downloads 44.05k
Release Time : 11/17/2022
Model Overview
This model is specifically designed for object detection tasks in the fashion domain, capable of identifying various fashion items and their details, such as clothing, accessories, and decorative elements.
Model Features
Fashion-specific
Fine-tuned specifically for the fashion domain, capable of accurately recognizing fashion items and their details.
Multi-category detection
Supports detection of multiple fashion categories, including clothing, accessories, and decorative elements.
Based on YOLOS architecture
Leverages the advantages of the YOLOS architecture to achieve efficient object detection.
Model Capabilities
Fashion item detection
Multi-category recognition
Object localization
Use Cases
Fashion e-commerce
Product auto-tagging
Automatically detects and tags items and details in fashion product images.
Improves product listing efficiency and reduces manual tagging costs.
Fashion recommendation
Style analysis
Analyzes style preferences by detecting fashion items in user-uploaded images.
Provides more accurate fashion recommendations.
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