V

Vit GPT2 Image Captioning

Developed by mo-thecreator
An image captioning model based on the ViT-GPT2 architecture, capable of generating natural language descriptions for input images.
Downloads 17
Release Time : 9/30/2024

Model Overview

This model combines Vision Transformer (ViT) and GPT-2 language model for image-to-text generation tasks, automatically generating descriptive text for images.

Model Features

Multimodal Architecture
Combines Vision Transformer for image feature processing and GPT-2 for natural language description generation
End-to-End Training
The entire model can be trained and fine-tuned end-to-end
BLEU Optimization
Achieves a BLEU score of 9.7054 on the evaluation set

Model Capabilities

Image Understanding
Natural Language Generation
Image-to-Text Conversion

Use Cases

Assistive Technology
Assistance for the Visually Impaired
Automatically describes image content for visually impaired individuals
Content Management
Automatic Image Tagging
Automatically generates descriptive tags for large volumes of images
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