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Vit Base Patch16 224 In21k Car Or Motorcycle
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Vit Base Patch16 224 In21k Car Or Motorcycle

Developed by DunnBC22
A binary classification model based on ViT architecture for distinguishing between car and motorcycle images, achieving 99.38% accuracy
Image Classification
Transformers
 EnglishOpen Source License:Apache-2.0#Vehicle Classification#High-precision Image Recognition#ViT Fine-tuned Model
Downloads 64
Release Time : 1/7/2023

Model Overview

This model is a binary classification model fine-tuned from Google's ViT model, specifically designed to identify whether an image contains a car or a motorcycle.

Model Features

High Accuracy
Achieves 99.38% classification accuracy on the test set
ViT-based Architecture
Uses Vision Transformer (ViT) as the foundational architecture, offering robust image feature extraction capabilities
Lightweight Fine-tuning
Achieves high performance with just 2 rounds of fine-tuning on the pre-trained model

Model Capabilities

Image Classification
Car Recognition
Motorcycle Recognition

Use Cases

Traffic Monitoring
Vehicle Type Identification
Automatically identifies cars and motorcycles in traffic monitoring systems
99.38% accuracy
Image Management
Vehicle Image Classification
Automatically classifies and organizes vehicle image libraries
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