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Autotrain Cat Vs Dog250 250 3628796990

Developed by Kluuking
This is a binary classification model trained using AutoTrain, specifically designed to distinguish between images of cats and dogs.
Downloads 17
Release Time : 2/21/2023

Model Overview

This model is trained on the AutoTrain framework and can accurately identify cats and dogs in images, suitable for simple image classification tasks.

Model Features

High Accuracy
Achieves 97.6% accuracy on the validation set, demonstrating excellent performance.
Low Loss Value
Validation loss is only 0.091, indicating good model fitting.
Eco-friendly Training
Training process emits only 1.1778 grams of CO2, emphasizing environmental protection.

Model Capabilities

Image classification
Binary classification
Cat-dog recognition

Use Cases

Pet Recognition
Pet Photo Classification
Automatically classifies user-uploaded pet photos to distinguish between cats and dogs.
97.6% accuracy
Content Moderation
Pet-related Content Filtering
Filters and classifies pet-related image content on social media platforms.
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