dogs-vs-cats-classification JordiCorbilla · COMPLETED
Dogs vs. Cats Classification is a project focused on the image classification task of distinguishing between dog and cat images using Convolutional Neural Networks (CNNs). This repository implements advanced deep learning techniques to preprocess data, train models, and evaluate performance on this classic image recognition problem
github.com/JordiCorbilla/dogs-vs-cats-classification · ★ 1 · Forks 0 · Size 5.9 MB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 3
Skips 0
COVERAGE
Analyzed 7 files · 24 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-09-15
Last commit 2025-02-09
Active months 2
Commits 24