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Swinv2 Tiny Patch4 Window8 256 Finetuned Og Dataset 10e
Fine-tuned vision model based on Swin Transformer V2 architecture, excelling in image classification tasks
Downloads 17
Release Time : 2/16/2023
Model Overview
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on an image folder dataset, primarily used for image classification tasks
Model Features
Efficient image classification
Based on Swin Transformer V2 architecture, achieving 96.11% accuracy in image classification tasks
Lightweight design
Uses tiny variant, suitable for deployment in resource-constrained environments
Fast inference
Evaluation speed reaches 63.85 samples per second, suitable for real-time applications
Model Capabilities
Image classification
Visual feature extraction
Use Cases
Computer vision
General image classification
Classify and recognize various types of images
Evaluation accuracy 96.11%
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