3_Labels Open-Source Three-Class Image Classification Model - Free to Use, with 95% Accuracy on the Validation Set

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3 Labels

Developed by Ailyth

A three-class image classification model trained with AutoTrain, achieving 95% accuracy on the validation set

Image Classification

Transformers

#High-precision image classification #Three-label classification #AutoTrain optimization

Downloads 18

Release Time : 2/8/2023

Model Overview

This is an image classification model trained using the AutoTrain platform, capable of predicting three classes for input images. The model performs excellently on the validation set, with all metrics reaching around 0.95.

Model Features

High Accuracy

Achieves 95% accuracy and F1 score on the validation set

Low Carbon Emissions

Training process produces only 2.65 grams of CO2 equivalent emissions

Automated Training

Uses the AutoTrain platform to automatically optimize the training process

Model Capabilities

Image Classification

Multi-class Prediction

Visual Recognition

Use Cases

Image Recognition

Animal Recognition

Identify animal categories in images

Accurately recognized the tiger in the example image

Object Classification

Classify everyday objects

Accurately classified the teapot in the example image

Scene Recognition

Identify different types of scenes

Accurately recognized the palace in the example image

Property	Details
Problem Type	Multi - class Classification
Model ID	3341092265
CO2 Emissions (in grams)	2.6501

Metric	Value
Loss	0.133
Accuracy	0.950
Macro F1	0.951
Micro F1	0.950
Weighted F1	0.950
Macro Precision	0.951
Micro Precision	0.950
Weighted Precision	0.950
Macro Recall	0.951
Micro Recall	0.950
Weighted Recall	0.950

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3 Labels

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoTrain

🚀 Quick Start

📚 Documentation

Validation Metrics

Widget Examples

Training Dataset

CO2 Emissions