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Video Blip Flan T5 Xl Ego4d

Developed by kpyu
VideoBLIP is an enhanced version of BLIP-2 capable of processing video data, using Flan T5-xl as the backbone language model.
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Release Time : 5/17/2023

Model Overview

The VideoBLIP model is based on the BLIP-2 architecture, with Flan T5-xl as the backbone language model, focusing on video data processing. It can perform tasks such as image-to-text, video-to-text, image captioning, video captioning, and visual question answering.

Model Features

Video Processing Capability
An enhanced version of BLIP-2 capable of processing video data, expanding the original model's application scope.
Large Language Model Backbone
Uses Flan T5-xl as the backbone language model with 2.7 billion parameters, providing powerful language understanding and generation capabilities.
Multi-Task Support
Supports multiple tasks such as image-to-text, video-to-text, image captioning, video captioning, and visual question answering.

Model Capabilities

Image-to-text
Video-to-text
Image Captioning
Video Captioning
Visual Question Answering

Use Cases

Video Content Analysis
Video Captioning
Generate detailed textual descriptions for video content, suitable for video content understanding and indexing.
Visual Question Answering
Video Question Answering
Answer natural language questions about video content, suitable for smart surveillance and assistive systems.
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