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Sriram Car Classifier
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Sriram Car Classifier

Developed by SriramSridhar78
This is a car image classification model built with PyTorch and HuggingPics, capable of recognizing multiple car brands and models.
Image Classification
Transformers
#Car Model Recognition#High-Precision Classification#Multi-Brand Support
Downloads 1,566
Release Time : 3/2/2022

Model Overview

This model is a custom image classifier specifically designed to identify different car brands and models. Trained using the HuggingPics framework, it is suitable for car recognition applications.

Model Features

High Accuracy
Achieves 82.7% classification accuracy on the test set
Broad Coverage
Supports recognition of multiple car brands and models
Ease of Use
Can easily create similar classifiers using the HuggingPics framework

Model Capabilities

Car Brand Recognition
Car Model Classification
Image Feature Extraction

Use Cases

Automotive Industry
Car Dealer Inventory Management
Automatically identify and classify vehicles in parking lots
Improves inventory management efficiency
Intelligent Transportation Systems
Identify vehicle types on the road
Assists in traffic flow analysis
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