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Autotrain Cat Vs Dogs 1858163503
A
Autotrain Cat Vs Dogs 1858163503
Developed by kem000123
This is a binary classification model trained using AutoTrain, specifically designed to distinguish between images of cats and dogs.
Downloads 10
Release Time : 10/24/2022
Model Overview
Developed through an automated training pipeline, this model focuses on cat and dog recognition in image classification tasks, featuring high accuracy and precision.
Model Features
High Accuracy
Achieves 100% accuracy on the validation set, capable of precisely distinguishing between images of cats and dogs.
Comprehensive Performance Metrics
All key performance metrics (precision, recall, F1 score, AUC value) are 1.000, demonstrating excellent performance.
Low-emission Training
The training process emits only 0.7951 grams of CO2, making it environmentally friendly and efficient.
Model Capabilities
Image classification
Cat and dog recognition
Binary classification
Use Cases
Pet Identification
Pet Photo Classification
Automatically classifies user-uploaded pet photos as either cats or dogs
Classification accuracy reaches 100%
Content Management
Animal Image Library Classification
Helps image libraries automatically categorize pictures of cats and dogs
Improves image library management efficiency
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