PlantCare AI - efficientnet_b4

Fine-tuned efficientnet_b4.ra2_in1k on the PlantCity field dataset (12 crops, 52 classes).

metric value
test accuracy 0.9969
test macro-F1 0.9960
ECE (calibrated) 0.0018
input size 320x320

Split: group-aware stratified 72/14/14, near-duplicates removed, original photos only, on-the-fly augmentation. Divide logits by temperature (see plantcare_meta.json) before softmax for calibrated confidences.

Limitations: trained on leaves from two districts of Khyber Pakhtunkhwa (Charsadda, Chitral); expect a drop on other regions, cameras and crops. Use as decision support, not a diagnosis.

Dataset: Khan et al. (2025) PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan, Mendeley Data (check its licence before releasing weights).

Downloads last month
3
Safetensors
Model size
17.8M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support