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Blip Image Captioning Base Football Finetuned

Developed by ybelkada
A vision-language model pre-trained on COCO and fine-tuned on a football dataset, proficient in generating image captions
Downloads 71
Release Time : 1/17/2023

Model Overview

BLIP is a unified vision-language pre-training framework, excelling in image understanding and caption generation tasks. This version is an image caption generation model fine-tuned on a football dataset.

Model Features

Unified Vision-Language Framework
Supports both visual understanding and language generation tasks simultaneously
Guided Annotation Strategy
Effectively utilizes noisy data through synthetic caption generation and filtering mechanisms
Optimized for Football Scenarios
Fine-tuned on a football dataset, providing more accurate descriptions of sports scenes

Model Capabilities

Image Caption Generation
Conditional Text Generation
Vision-Language Understanding

Use Cases

Sports Media
Automatic Annotation of Football Match Images
Generate descriptive text for match pictures in sports news
Improve the efficiency of sports content production
Accessibility Technology
Visual Assistance Application
Describe image content for visually impaired people
Enhance the accessibility of digital content
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