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Blip2 Flan T5 Xl

Developed by Salesforce
BLIP-2 is a vision-language model based on Flan T5-xl, pre-trained by freezing the image encoder and large language model, supporting tasks such as image captioning and visual question answering.
Downloads 91.77k
Release Time : 2/6/2023

Model Overview

BLIP-2 consists of an image encoder, query transformer, and large language model. It bridges the embedding space gap between images and text by training the query transformer, enabling tasks like image captioning and visual question answering.

Model Features

Frozen Pretrained Models
Keeps the weights of the image encoder and large language model frozen, only training the query transformer to improve training efficiency.
Multi-task Support
Supports various tasks such as image captioning, visual question answering, and chat-like conversations.
Query Transformer
Uses a BERT-like query transformer to map query tokens into query embeddings, bridging the embedding space gap between images and text.

Model Capabilities

Image Captioning
Visual Question Answering
Image-Text Dialogue

Use Cases

Image Understanding
Image Captioning
Generates descriptive text based on input images.
Visual Question Answering
Answers natural language questions about image content.
Interactive Applications
Image Dialogue
Engages in chat-like conversations based on images and text prompts.
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