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Vit Batik
V
Vit Batik
Developed by dewanakl
This is an image classification model based on Vision Transformer (ViT) and BEiT architectures, specifically designed for recognizing Indonesian batik patterns.
Downloads 60
Release Time : 10/10/2024
Model Overview
The model combines Google's ViT and Microsoft's BEiT visual Transformer architectures, specifically tailored for classifying traditional Indonesian batik patterns.
Model Features
Dual Architecture Fusion
Combines ViT and BEiT, two advanced visual Transformer architectures, to enhance model performance.
Cultural Feature Recognition
Specifically optimized for traditional Indonesian batik patterns, accurately identifying cultural characteristics.
Efficient Classification
Based on patch16-224 input processing, balancing computational efficiency and classification accuracy.
Model Capabilities
Image Classification
Cultural Pattern Recognition
Traditional Art Analysis
Use Cases
Cultural Heritage Preservation
Batik Pattern Digital Archiving
Automatically classify and archive different styles of Indonesian batik patterns.
Improves the efficiency of cultural heritage digitization.
Educational Applications
Batik Art Learning Tool
Helps students identify and understand batik styles from different regions.
Promotes traditional cultural education.
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