Open Source Model autotrain-dementia_classification-41162106183 - Assisting in Dementia Image Classification Tasks

Autotrain Dementia Classification 41162106183

Developed by RiniPL

This is a multi-class image classification model trained via AutoTrain, specifically designed for dementia-related image classification tasks.

Image Classification

Transformers

#Medical Image Classification #Dementia Auxiliary Diagnosis #Multi-class Classification

Downloads 30

Release Time : 3/15/2023

Model Overview

This model is trained based on the AutoTrain framework, primarily used for medical image classification, especially for the recognition and classification of dementia-related images.

Model Features

Automatic Training

Uses the AutoTrain framework to automatically optimize the training process, simplifying model development.

Medical Image Classification

Specifically designed for classifying dementia-related medical images.

Eco-friendly Training

Low CO2 emissions during training (only 0.2237 grams).

Model Capabilities

Image Classification

Medical Image Analysis

Multi-class Prediction

Use Cases

Medical Diagnosis

Early Dementia Screening

Assists doctors in early dementia screening by analyzing medical images.

Validation accuracy reached 64.3%.

Property	Details
Loss	1.017
Accuracy	0.643
Macro F1	0.427
Micro F1	0.643
Weighted F1	0.566
Macro Precision	0.646
Micro Precision	0.643
Weighted Precision	0.756
Macro Recall	0.431
Micro Recall	0.643
Weighted Recall	0.643

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Autotrain Dementia Classification 41162106183

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoTrain

🚀 Quick Start

✨ Features

📚 Documentation

Validation Metrics

Widget Examples

Datasets

CO2 Emissions