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Car Brands Classification
C
Car Brands Classification
Developed by lamnt2008
A pre-trained image classification model based on the BEiT architecture, supporting Vietnamese labels, suitable for vision tasks
Downloads 19
Release Time : 3/28/2023
Model Overview
This model is a vision Transformer based on the BEiT architecture, pre-trained and fine-tuned primarily for image classification tasks. It supports Vietnamese label processing and is suitable for vision applications requiring multilingual support.
Model Features
Multilingual Support
Specifically supports Vietnamese label processing, suitable for applications in Southeast Asia
Efficient Visual Representation
Based on the BEiT architecture, it learns efficient visual feature representations through image patch modeling
Transfer Learning Friendly
Pre-trained weights can be easily fine-tuned for downstream vision tasks
Model Capabilities
Image Classification
Visual Feature Extraction
Multilingual Label Processing
Use Cases
Content Classification
Vietnamese E-commerce Product Classification
Automatically classify product images labeled in Vietnamese
Educational Applications
Vietnamese Language Learning Aid
Recognize images labeled in Vietnamese to assist language learning
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