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Finetuned Blip Chest Xrays
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Finetuned Blip Chest Xrays

Developed by daniyal214
A deep learning-based model that converts input images into descriptive captions.
Image-to-Text
Transformers
 EnglishOpen Source License:Bsd-3-clause#English Image Captioning#BSD-3 Open Source#Vision-Language Conversion
Downloads 33
Release Time : 7/25/2023

Model Overview

This model is primarily used for image captioning tasks, capable of understanding image content and generating corresponding natural language descriptions.

Model Features

Multimodal Understanding
Capable of processing both visual and linguistic information to understand image content and generate corresponding descriptions.
High-Quality Caption Generation
Generates fluent and accurate image captions that capture key information in the image.

Model Capabilities

Image Understanding
Natural Language Generation
Multimodal Processing

Use Cases

Assistive Technology
Visual Impairment Assistance
Provides audio descriptions of image content for visually impaired users
Enhances information accessibility for visually impaired users
Content Management
Automatic Image Tagging
Automatically generates descriptive tags for large volumes of images
Improves efficiency in image retrieval and management
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