🌿 Crop Disease Classifier (MobileNetV3-Small)
This model is a compact, quantized image classifier developed for the AIMS KTT Hackathon. It identifies five common conditions in maize, cassava, and beans, optimized for edge-AI deployment in rural environments.
📊 Model Performance
- Macro-F1 (Clean Test): 0.9933
- Model Size: ~9.2 MB (ONNX)
- Architecture: MobileNetV3-Small (INT8 Optimized)
📂 Classes Supported
The model predicts the following categories:
healthy (Maize)maize_rustmaize_blightcassava_mosaicbean_spot
🚀 Usage
This model is intended to be served via FastAPI using the onnxruntime library.
Note: This model is part of the Tier 2.1 challenge. See process_log.md in the GitHub repo for full reproduction steps.
