Vit Base Patch16 224 In21k Face Recognition
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Vit Base Patch16 224 In21k Face Recognition
Developed by jayanta
This model is a face recognition model fine-tuned on an image folder dataset based on Google's ViT architecture, achieving near-perfect accuracy on the evaluation set.
Downloads 216
Release Time : 10/30/2023
Model Overview
This model uses the Vision Transformer (ViT) architecture, specifically designed for face recognition tasks, capable of efficiently and accurately identifying and classifying facial images.
Model Features
High Accuracy
Achieved an accuracy of 0.9999 on the evaluation set, demonstrating excellent performance
Based on ViT Architecture
Utilizes the Vision Transformer architecture, offering powerful image processing capabilities
Efficient Fine-tuning
Fine-tuned on a pre-trained model, ensuring high training efficiency
Model Capabilities
Face recognition
Image classification
Feature extraction
Use Cases
Security & Surveillance
Access Control Systems
Used in face recognition access control systems to verify personnel identity
Accuracy as high as 99.99%
Social Media
Photo Auto-tagging
Automatically identifies and tags people in photos
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