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Paligemma2 3b Ft Docci 448

Developed by google
PaliGemma 2 is an upgraded vision-language model released by Google, combining the capabilities of Gemma 2 and SigLIP vision models, supporting multilingual vision-language tasks.
Downloads 8,765
Release Time : 11/21/2024

Model Overview

PaliGemma 2 is a vision-language model based on Gemma 2 and SigLIP vision models, accepting image and text inputs to generate text outputs, suitable for tasks such as image captioning and visual question answering.

Model Features

Multimodal Input
Supports simultaneous processing of image and text inputs for joint vision-language understanding.
Multi-Task Adaptation
Can be fine-tuned for various vision-language tasks such as image captioning, visual question answering, and object detection.
Multilingual Support
Training data covers multiple languages, supporting multilingual text generation.
Efficient Architecture
Combines SigLIP vision encoder and Gemma 2 text decoder for efficient vision-language processing.

Model Capabilities

Image Captioning
Visual Question Answering
Text Reading
Object Detection
Image Segmentation
Multilingual Text Generation

Use Cases

Content Generation
Image Description Generation
Generate detailed textual descriptions for images
Produces natural language descriptions that match image content
Short Video Captioning
Generate captions for short videos
Accurate captions describing video content
Question Answering Systems
Visual Question Answering
Answer questions about image content
Accurately answers image-based questions
Computer Vision
Object Detection
Detect and locate objects in images
Outputs object bounding box coordinates
Image Segmentation
Perform semantic segmentation on images
Outputs segmentation mask tokens
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