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Vogue Fashion Collection 15
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Vogue Fashion Collection 15

Developed by tonyassi
A fashion collection classification model fine-tuned based on Google Vision Transformer (ViT), capable of recognizing clothing collections from 15 top fashion brands.
Image Classification
Transformers
Open Source License:Apache-2.0#Fashion Brand Recognition#High-precision Classification#Fashion Industry Applications
Downloads 38
Release Time : 12/28/2023

Model Overview

This model is used for classifying fashion images and can identify clothing collections from 15 different fashion brands. Trained on the Vogue Runway dataset, it is suitable for analysis and retrieval applications in the fashion industry.

Model Features

High Accuracy
Achieves 94.54% accuracy on the evaluation set, reliably distinguishing between different fashion brand collections.
Broad Coverage
Covers 15 top fashion brands, including 1,679 collections with a total of 87,547 images.
Based on ViT Architecture
Uses Google Vision Transformer (ViT) as the base model, offering excellent image understanding capabilities.

Model Capabilities

Fashion Image Classification
Brand Recognition
Collection Recognition

Use Cases

Fashion Industry
Fashion Trend Analysis
Analyze fashion trends across different brands and seasons.
Automatically classifies large volumes of fashion images, improving analysis efficiency.
E-commerce
Provide automatic classification for fashion e-commerce platforms.
Helps users quickly find products from specific brands or styles.
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