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Segformer B0 Clothes
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Segformer B0 Clothes
Developed by mattmdjaga
A clothing segmentation model fine-tuned based on the SegFormer architecture, specifically designed to identify and segment clothing regions in images.
Downloads 67
Release Time : 4/20/2023
Model Overview
This model is a SegFormer B0 model fine-tuned on the ATR dataset, specifically designed for clothing segmentation tasks, capable of accurately identifying and segmenting different clothing regions of characters in images.
Model Features
Precise Clothing Segmentation
Capable of accurately identifying and segmenting different clothing regions in images.
Lightweight Model
Based on the SegFormer-B0 architecture, the model is small in size and suitable for deployment.
Transfer Learning
Fine-tuned on the ATR dataset, specifically optimized for clothing segmentation tasks.
Model Capabilities
Image Segmentation
Clothing Recognition
Human Parsing
Use Cases
Fashion & Retail
Virtual Try-On
Achieve virtual try-on functionality by segmenting clothing regions.
Accurately identifies clothing boundaries, providing the foundation for virtual try-on.
Fashion Analysis
Analyze clothing styles and types in images.
Can be used for fashion trend analysis and recommendation systems.
Human-Computer Interaction
Augmented Reality Applications
Implement clothing-related interactive effects in AR applications.
Provides the foundation for clothing segmentation in AR filters and effects.
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