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Convnext Tiny 224 Album Vit
A vision model based on the ConvNeXt-Tiny architecture, fine-tuned for image classification tasks
Downloads 32
Release Time : 11/22/2022
Model Overview
This model is a vision transformer fine-tuned from facebook/convnext-tiny-224, primarily used for image classification tasks. It achieved an accuracy of 49.12% on the evaluation set.
Model Features
Efficient Image Classification
Based on the ConvNeXt architecture, it performs well in image classification tasks
Fine-tuning Optimization
Targeted fine-tuning on the base model improves performance for specific tasks
Model Capabilities
Image Classification
Visual Feature Extraction
Use Cases
Computer Vision
Photo Album Classification
Can be used for automatic classification and organization of photo albums
Achieved 49.12% accuracy on the evaluation set
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