{"data":{"full_name":"AlvaroVasquezAI/Satellite_Image_Classification","name":"Satellite_Image_Classification","description":"Satellite image classification using a custom Convolutional Neural Network (CNN), which achieves 96% accuracy on test data . The model is designed to classify images from the EuroSAT dataset into ten distinct classes.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"satellite-lulc-classification","last_pushed_at":"2025-09-20T03:18:39+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":12.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T18:14:12.027484+00:00"}}