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Mobileclip S2 OpenCLIP

Developed by apple
MobileCLIP-S2 is an efficient text-image model that achieves fast zero-shot image classification through multimodal reinforcement training.
Downloads 99.74k
Release Time : 6/7/2024

Model Overview

MobileCLIP-S2 is a medium-sized variant in the MobileCLIP series, specifically designed for fast zero-shot image classification tasks, delivering excellent classification performance while maintaining efficient inference speed.

Model Features

Efficient performance
Outperforms SigLIP's ViT-B/16 model in zero-shot performance, 2.3x faster and 2.1x smaller in size
Low training data requirement
Uses only 13B training samples, 3x fewer than similar models
Multimodal reinforcement training
Employs specialized multimodal training methods to enhance model performance

Model Capabilities

Zero-shot image classification
Text-image matching
Multimodal understanding

Use Cases

Computer vision
Image classification
Classifies images without specific training
Achieves 74.4% zero-shot Top-1 accuracy on ImageNet-1k
Visual search
Searches for relevant images based on text descriptions
Mobile applications
Mobile image recognition
Enables efficient image recognition on mobile devices
Low latency (3.6ms for image + 3.3ms for text)
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