
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.
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.