V

Vit Tiny Patch8 112.arcface Ms1mv3

Developed by gaunernst
A Vision Transformer (ViT) model trained on the MS1MV3 dataset, specifically designed for face recognition tasks.
Downloads 371
Release Time : 4/22/2024

Model Overview

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

Model Features

Compact Vision Transformer Architecture
Utilizes ViT-Tiny architecture for high computational efficiency, ideal for resource-constrained environments
ArcFace Loss Function
Trained with ArcFace loss function to enhance discriminative power in face recognition
timm Compatibility
Fully compatible with the timm library for easy integration and usage

Model Capabilities

Facial Feature Extraction
Face Recognition
Face Verification

Use Cases

Security & Authentication
Face Unlock System
Used for face unlock features on mobile devices or computers
Identity Verification
Biometric authentication for financial or sensitive systems
Surveillance & Analysis
Video Surveillance
Real-time face recognition in video streams
Crowd Analysis
People flow statistics and analysis in public spaces
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