V

Vit GPT2 Image Captioning

Developed by motheecreator
An image captioning model based on the ViT-GPT2 architecture, capable of generating natural language descriptions for input images.
Downloads 149
Release Time : 9/30/2024

Model Overview

This model combines Vision Transformer (ViT) and GPT-2 language model for image-to-text generation tasks. It can analyze image content and generate corresponding descriptive text.

Model Features

Vision-Language Joint Modeling
Combines Vision Transformer and language model to achieve cross-modal understanding and generation from image to text.
End-to-End Training
The entire model can be trained end-to-end, optimizing the joint task of image understanding and text generation.
BLEU Optimization
The model performs well on BLEU metrics, generating descriptions with high similarity to human reference texts.

Model Capabilities

Image Understanding
Natural Language Generation
Cross-Modal Conversion

Use Cases

Assistive Technology
Visual Assistance
Provides text descriptions of image content for visually impaired individuals
Content Creation
Social Media Auto-Tagging
Automatically generates descriptive text for uploaded images
Data Annotation
Automated Image Annotation
Generates preliminary text annotations for large-scale image datasets
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase