A

Autotrain Cat Vs Dog 3608196587

Developed by Kluuking
This is a binary classification model trained with AutoTrain, specifically designed to distinguish between images of cats and dogs.
Downloads 36
Release Time : 2/20/2023

Model Overview

Developed through AutoTrain's automated training process, this model focuses on cat and dog recognition in image classification tasks, boasting high accuracy and recall rates.

Model Features

High Accuracy
Achieves 99% accuracy on the validation set, demonstrating excellent performance.
Perfect Recall Rate
100% recall rate for target categories, ensuring no missed detections.
Low-emission Training
The training process produces only 0.775 grams of CO2 equivalent emissions, making it environmentally friendly and efficient.

Model Capabilities

Image classification
Cat-dog recognition
Binary classification

Use Cases

Pet recognition
Pet photo classification
Automatically identifies whether the animal in the photo is a cat or a dog
99% accuracy
Content moderation
Pet-related content filtering
Filters out images containing cats or dogs on social media
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase