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Autotrain Cat Vs Dog250 250 3628796989

Developed by Kluuking
This is a binary vision model for cat-dog classification trained with AutoTrain, demonstrating exceptionally high accuracy on test sets.
Downloads 19
Release Time : 2/21/2023

Model Overview

A cat-dog classifier trained on 250x250 resolution images, suitable for simple pet recognition scenarios

Model Features

High Accuracy
Achieves 99.6% accuracy on validation set with F1 score of 0.996
Lightweight
AutoTrain-optimized lightweight model (specific parameter scale undisclosed)
Fast Inference
Suitable for real-time classification applications (specific speed metrics undisclosed)

Model Capabilities

Image classification
Pet recognition
Binary prediction

Use Cases

Smart Pet Applications
Automatic Pet Album Classification
Automatically identifies and categorizes cat/dog photos in albums
Test accuracy 99.6%
Smart Pet Access Control
Identifies pet types to control door access
Educational Demonstrations
Machine Learning Teaching Case
Demonstrates implementation of basic computer vision models
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