Autotrain-cardamage-3762299975 Open-source Image Classification Model - Free for Multi-class Visual Classification Tasks

Autotrain Cardamage 3762299975

Developed by opiljain

This is a visual image classification model trained using AutoTrain, specifically designed for multi-class classification tasks.

Image Classification

Transformers

#Vehicle Damage Classification #Multi-class Image Recognition #Medium Accuracy Model

Downloads 20

Release Time : 2/26/2023

Model Overview

This model is trained based on the AutoTrain framework, primarily used for image classification tasks, capable of recognizing various categories of images.

Model Features

Auto-Training

Automatically trained using the AutoTrain framework, simplifying the model development process.

Multi-class Classification

Supports image classification for multiple categories.

Eco-friendly Training

Low carbon dioxide emissions during training (0.6713 grams).

Model Capabilities

Image Classification

Multi-class Recognition

Use Cases

Image Recognition

Vehicle Damage Classification

Can be used to identify and classify types of vehicle damage.

Accuracy 73.3%

Metric	Value
Loss	0.711
Accuracy	0.733
Macro F1	0.531
Micro F1	0.733
Weighted F1	0.649
Macro Precision	0.492
Micro Precision	0.733
Weighted Precision	0.588
Macro Recall	0.583
Micro Recall	0.733
Weighted Recall	0.733

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Autotrain Cardamage 3762299975

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoTrain

🚀 Quick Start

Widget Examples

✨ Features

📚 Documentation

Validation Metrics