maize-doctor-classifier
daiv05
Diagnóstico de 9 enfermedades, plagas y deficiencias nutricionales del maíz a partir de una foto de hoja. Pipeline completo en PyTorch: datos, Optuna, ensamble, equidad y XAI (LIME/SHAP/Grad-CAM). Modelo desplegado: EfficientNet-Lite0 Int8 de 3.5 MB, macro-F1 0.947, inferencia offline en Android.
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2 data points · 2026-09-22 → 2026-10-18How do you feel about this project?
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Question copied to clipboardWhat is the daiv05/maize-doctor-classifier GitHub project? Description: "Diagnóstico de 9 enfermedades, plagas y deficiencias nutricionales del maíz a partir de una foto de hoja. Pipeline completo en PyTorch: datos, Optuna, ensamble, equidad y XAI (LIME/SHAP/Grad-CAM). Modelo desplegado: EfficientNet-Lite0 Int8 de 3.5 MB, macro-F1 0.947, inferencia offline en Android.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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