Open-source model autotrain-cat-vs-dog250_250-3628796989 - Accurately achieve binary classification and recognition of cat and dog images

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

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)

Image classification

Pet recognition

Binary prediction

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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