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Segformer B2 Finetuned Segments Dresses 071123
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Segformer B2 Finetuned Segments Dresses 071123

Developed by FashionAI4Wholesale
An image segmentation model fine-tuned on the SegFormer-b2 architecture, focusing on human model clothing segmentation tasks
Image Segmentation
Transformers
 EnglishOpen Source License:Openrail#Human Clothing Segmentation#High-precision Semantic Segmentation#Fashion Industry Applications
Downloads 19
Release Time : 7/11/2023

Model Overview

This model is an image segmentation model fine-tuned on the SegFormer-b2 architecture, trained with a private human model clothing dataset, specifically designed for precise segmentation of human clothing areas

Model Features

Precise Human Clothing Segmentation
Segmentation capability optimized specifically for human model clothing scenarios
Advantages of SegFormer Architecture
Transformer-based SegFormer architecture provides efficient segmentation performance
Trained on Private Dataset
Fine-tuned using a specialized human model clothing dataset

Model Capabilities

Image Segmentation
Human Region Recognition
Clothing Area Segmentation

Use Cases

Fashion and Retail
Virtual Try-on Systems
Used for virtual try-on features in online shopping platforms
Accurate segmentation of clothing areas for more realistic virtual try-on effects
Clothing Design Analysis
Assisting fashion designers in analyzing clothing patterns and wearing effects
Provides accurate clothing area segmentation data
Computer Vision Research
Preprocessing for Human Pose Estimation
Serves as a preprocessing step for human pose estimation tasks
Improves the accuracy of subsequent pose estimation
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