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Siglip2 Base Patch16 Naflex

Developed by google
SigLIP 2 is a multilingual vision-language encoder that integrates SigLIP's pretraining objectives and introduces new training schemes, enhancing semantic understanding, localization, and dense feature extraction capabilities.
Downloads 10.68k
Release Time : 2/18/2025

Model Overview

SigLIP 2 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
Integrates SigLIP's pretraining objectives and introduces new training schemes to improve semantic understanding.
Localization and Dense Feature Extraction
Enhances localization and dense feature extraction capabilities through improved training objectives.
Multi-task Support
Supports various vision-language tasks such as zero-shot image classification and image-text retrieval.

Model Capabilities

Zero-shot Image Classification
Image-Text Retrieval
Visual Encoding

Use Cases

Image Classification
Zero-shot Image Classification
Classify images without fine-tuning, supporting custom labels.
Image-Text Retrieval
Image Search
Retrieve relevant images based on text descriptions.
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