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Autotrain Cat Vs Dog 3608196590

Developed by Kluuking
A binary classification model trained with AutoTrain, specifically designed to distinguish between images of cats and dogs
Downloads 17
Release Time : 2/20/2023

Model Overview

This is a vision classification model trained on the AutoTrain framework, capable of accurately identifying cats and dogs in images. The model demonstrates perfect performance on the validation set.

Model Features

High Accuracy
Achieves 100% accuracy, precision, and recall on the validation set
Low-emission Training
The training process produces only 0.0069 grams of CO2 emissions, making it environmentally friendly and efficient
Easy to Use
Trained via the AutoTrain framework, with low barriers to deployment and usage

Model Capabilities

Image classification
Animal recognition
Binary classification

Use Cases

Pet-related Applications
Automatic Pet Photo Classification
Automatically classifies user-uploaded pet photos as either cats or dogs
100% classification accuracy
Pet Community Content Management
Helps pet community platforms automatically tag user-uploaded cat and dog images
Educational Applications
Children's Educational Tool
Assists children in learning to distinguish between cats and dogs
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