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Segformer B0 Finetuned Segments Test
An image segmentation model fine-tuned on the bilal01/stamp-verification-test dataset based on nvidia/mit-b0
Downloads 15
Release Time : 5/13/2023
Model Overview
This model is a lightweight version of the SegFormer architecture, focusing on image segmentation tasks and suitable for scenarios requiring efficient segmentation.
Model Features
Lightweight Architecture
Based on the SegFormer-B0 architecture, suitable for image segmentation tasks in resource-constrained environments.
Domain-Specific Fine-tuning
Fine-tuned on the bilal01/stamp-verification-test dataset, potentially suitable for segmentation tasks in specific domains.
Efficient Training
Trained with a relatively small batch size (2) and a linear learning rate scheduler.
Model Capabilities
Image Segmentation
Pixel-Level Classification
Visual Feature Extraction
Use Cases
Document Processing
Stamp Verification
Potentially used for segmentation and verification of stamp images.
General Image Segmentation
Object Segmentation
Can be used to identify and segment different objects in images.
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