Fashion Object Detection
A fashion object detection model fine-tuned from microsoft/conditional-detr-resnet-50, specifically designed for detecting fashion items
Downloads 1,710
Release Time : 8/24/2024
Model Overview
This model is an object detection model optimized for the fashion domain, capable of accurately identifying various fashion items in images, such as bags, pants, dresses, etc.
Model Features
Fashion-Specific Detection
A detection model optimized specifically for fashion items, capable of accurately identifying 7 categories of fashion items
High Performance
Achieves an mAP of 0.7542 in testing, demonstrating excellent performance
Multi-Dataset Training
Trained on a combination of two fashion datasets: ModaNet and Fashionpedia
Model Capabilities
Fashion Item Detection
Image Analysis
Bounding Box Localization
Use Cases
E-Commerce
Automatic Fashion Product Tagging
Automatically detects and tags fashion product images on e-commerce platforms
Improves product listing efficiency and reduces manual labeling costs
Visual Search
Search for similar fashion items using images
Enhances user experience and conversion rates
Fashion Analysis
Fashion Trend Analysis
Analyzes the popularity of fashion items in social media images
Provides market insights for fashion brands
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