
PlantDoc: Plant Disease Classification
State-of-the-art plant disease classification with CBAM-augmented ResNet18, achieving 97.46% accuracy across 38 disease categories.
Computer VisionCNNAttention Mechanisms+3
Jeremy Cleland

State-of-the-art plant disease classification with CBAM-augmented ResNet18, achieving 97.46% accuracy across 38 disease categories.

A sophisticated real-time collaborative parking space optimization system using advanced algorithms including dynamic pricing, smart routing, and demand prediction for urban environments.

Advanced machine learning pipeline for early sepsis detection using Random Forest, XGBoost, and Logistic Regression models with hyperparameter tuning.

A deep learning-based system for converting images of mathematical expressions into LaTeX code, using sequence-to-sequence architecture with CNN/ResNet encoder and LSTM decoder.