C

Cat Dog Classifier

Developed by MoGHenry
An image classification model fine-tuned based on the ResNet-50 architecture, specifically designed to distinguish between images of cats and dogs with an accuracy of 96.88%.
Downloads 58
Release Time : 1/4/2025

Model Overview

This model is a binary classification model fine-tuned from the Microsoft ResNet-50 pre-trained model, primarily used for cat and dog recognition in image classification tasks.

Model Features

High Accuracy
Achieves a classification accuracy of 96.88% on the evaluation dataset
Based on ResNet-50
Utilizes the mature ResNet-50 architecture for fine-tuning, featuring excellent feature extraction capabilities
Fast Training
Requires only 5 training epochs to achieve high performance

Model Capabilities

Image Classification
Cat and Dog Recognition
Computer Vision

Use Cases

Pet-related Applications
Automatic Pet Photo Classification
Automatically identifies and classifies user-uploaded photos of cats and dogs
Accuracy: 96.88%
Pet Social Platform Content Management
Automatically tags uploaded pet images as either cat or dog
Smart Home
Pet Recognition Access Control System
Identifies household pets to control smart access
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase