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Vit Bart Image Captioner
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Vit Bart Image Captioner

Developed by SrujanTopalle
A vision-language model based on BART-Large and ViT for generating English descriptions of images.
Image-to-Text
Safetensors
 EnglishOpen Source License:Apache-2.0#MSCOCO Image Captioning#Multimodal Fusion#High-precision BLEU
Downloads 15
Release Time : 12/27/2024

Model Overview

This model combines Vision Transformer (ViT) and BART-Large architectures to analyze image content and generate coherent English descriptions. Suitable for automatic image annotation, assisting visually impaired individuals, and similar scenarios.

Model Features

Multimodal Understanding
Processes both visual and linguistic information to achieve image-to-text conversion.
High-Quality Description Generation
Generates fluent and image-content-aligned descriptive texts.
Pretrained Model Combination
Leverages the strengths of both ViT and BART pretrained models.

Model Capabilities

Image Content Understanding
Natural Language Generation
Multimodal Feature Extraction

Use Cases

Assistive Technology
Visual Impairment Assistance
Generates image descriptions for visually impaired users.
Enhances digital content accessibility.
Content Management
Automatic Image Tagging
Generates tags and descriptions for image libraries or social media pictures.
Improves content retrieval efficiency.
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