AlvaroVasquezAI/Animal_Image_Classification

An animal classification system developed using transfer learning with the ResNet50 convolutional neural network pre-trained on ImageNet. Designed to distinguish between three classes of animals—cats, dogs, and snakes—the system demonstrates a high accuracy of approximately 98.67% on a balanced dataset comprising 3,000 images.

13
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

Jupyter Notebook

License

MIT

Category

cat-dog-classification

Last pushed

Sep 20, 2025

Commits (30d)

0

GitHub
Cat Dog Classification · 96 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AlvaroVasquezAI/Animal_Image_Classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

ardamavi/Dog-Cat-Classifier

Dog and cat image classifier with deep learning

49

AlexiaJM/Deep-learning-with-cats

Deep learning with cats (^._.^)

48

MarQuisCheshire/Pets-Face-Recognition

Animal identification using face recognition based methods

46

mohammad-ghaderi/cat-dog-asm-cnn

A Convolutional Neural Network implemented entirely from scratch in x86-64 assembly using...

45

earhian/Humpback-Whale-Identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

43

Explore ML Frameworks

All categories Trending ML Framework directory Insights