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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
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
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