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Thaicapgen Clip Gpt2
An encoder-decoder model based on CLIP encoder and GPT2 architecture for generating Thai image descriptions
Downloads 18
Release Time : 10/30/2024
Model Overview
This model combines CLIP's image encoding capabilities with GPT2's text generation abilities, specifically designed to generate Thai descriptions for images. Suitable for applications requiring automatic image annotation or assisting visually impaired individuals.
Model Features
Multimodal Architecture
Combines visual encoder (CLIP) and language decoder (GPT2) to achieve cross-modal conversion from images to text
Thai Language Optimization
Specially trained for Thai, fine-tuned on Thai versions of MSCOCO and IPU24 datasets
End-to-End Generation
Directly generates natural language descriptions from image pixels without intermediate representations
Model Capabilities
Image Understanding
Thai Text Generation
Cross-modal Conversion
Use Cases
Assistive Technology
Visual Impairment Assistance
Automatically generates image descriptions for visually impaired users
Enhances digital content accessibility
Content Management
Automatic Image Tagging
Generates Thai tags for image libraries or social media pictures
Simplifies content categorization and retrieval
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