S

Siglip2 So400m Patch16 512

Developed by google
SigLIP 2 is a vision-language model based on SigLIP, enhanced with improved semantic understanding, localization, and dense feature extraction capabilities.
Downloads 46.46k
Release Time : 2/17/2025

Model Overview

This model can be used for tasks such as zero-shot image classification and image-text retrieval, or as a visual encoder for vision-language models.

Model Features

Enhanced Semantic Understanding
Incorporates multiple techniques to improve semantic understanding.
Localization Capability
Improved ability to localize objects in images.
Dense Feature Extraction
Capable of extracting richer image features.
Unified Training Scheme
Integrates multiple training objectives into a unified scheme.

Model Capabilities

Zero-shot Image Classification
Image-Text Retrieval
Visual Feature Extraction

Use Cases

Image Classification
Zero-shot Image Classification
Classify images without training.
Supports custom candidate labels.
Vision-Language Tasks
Visual Encoder
Can serve as a visual encoder for other vision-language models.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase