V

Vit Tiny Patch8 112.cosface Ms1mv3

Developed by gaunernst
A Vision Transformer (ViT) model trained on the MS1MV3 dataset, specifically designed for face recognition tasks
Downloads 28
Release Time : 4/21/2024

Model Overview

This model is a small Vision Transformer (ViT) architecture trained with CosFace loss on the MS1MV3 face dataset, suitable for facial feature extraction tasks

Model Features

Compact Vision Transformer Architecture
Adopts ViT-Tiny architecture with high computational efficiency, ideal for resource-constrained environments
CosFace Loss Function
Trained with CosFace loss to optimize discriminative features for face recognition tasks
timm Compatibility
Fully compatible with the timm library for easy integration into existing vision processing pipelines

Model Capabilities

Facial Feature Extraction
Image Embedding Generation

Use Cases

Security & Authentication
Face Recognition System
Used for building face verification or recognition systems
Smart Surveillance
Person Identification
Identifying specific individuals in surveillance systems
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