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Autotrain Cat Vs Dog 3608196586
A
Autotrain Cat Vs Dog 3608196586
Developed by Kluuking
This is a binary classification model trained using AutoTrain, specifically designed to distinguish between pictures of cats and dogs.
Downloads 17
Release Time : 2/20/2023
Model Overview
This model is trained through the AutoTrain framework, focusing on cat and dog image classification tasks in the visual domain, with high accuracy and precision.
Model Features
High Accuracy
Achieves 100% accuracy on the validation set, demonstrating excellent performance.
Low Loss Value
Validation loss is only 0.003, indicating good model fitting.
Comprehensive Performance Metrics
Achieves perfect scores of 1.000 in precision, recall, AUC value, and F1 score.
Eco-friendly Training
Extremely low CO2 emissions during training, only 0.0041 grams.
Model Capabilities
Image classification
Binary classification
Cat and dog recognition
Use Cases
Pet recognition
Pet photo classification
Automatically identifies whether user-uploaded pet photos are of cats or dogs
Accuracy reaches 100%
Content management
Animal image library classification
Helps image libraries automatically classify cat and dog pictures
Improves classification efficiency
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