Catsanddogspoc Resnet
C
Catsanddogspoc Resnet
Developed by TheBirdLegacy
A binary classification model trained with AutoTrain, specifically designed to distinguish between images of cats and dogs
Downloads 13
Release Time : 12/20/2022
Model Overview
This is a visual classification model trained on the DalleCatsAndDogs dataset, capable of accurately identifying cats and dogs in images.
Model Features
High accuracy
Achieves 100% accuracy on the validation set
Comprehensive performance metrics
Precision, recall, F1 score, and AUC all reach 1.000
Eco-friendly training
The training process produced only 1.6189 grams of CO2 emissions
Model Capabilities
Image classification
Cat and dog recognition
Binary classification
Use Cases
Pet recognition
Pet photo classification
Automatically classify whether user-uploaded pet photos are of cats or dogs
100% classification accuracy
Content moderation
Pet-related content filtering
Filter specific pet-related content on social media platforms
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