Tap to upload a leaf image
JPEG or PNGDetection Settings
Confidence Threshold
0.33
Higher values show only strong detections.
Overlay Color
Light tones keep leaf details visible under overlays.
Overlays
Segmentation Masks
Bounding Boxes
Confidence Score
Explainability
Attention Heatmap
LeafNet
Diseased ROI Extraction
What it does
LeafNet detects and segments diseased regions on plant leaves. Capture or upload a leaf photo, and the model highlights affected areas with precision overlays — boxes, masks, and confidence scores.
Who it's for
Farmers monitoring crop health, plant pathologists conducting field surveys, and agricultural researchers analyzing disease spread. Works on any device, no specialised hardware required.
How to use
- Tap the leaf area to upload an image
- Press Run Diagnosis
- Tap the eye icon to compare original vs result
- Adjust threshold, color, and overlays in Settings
- Enable Attention Heatmap to see where the model focused
- Download the annotated result
Model
RF-DETR-Seg-Nano fine-tuned on a leaf disease segmentation dataset. Runs entirely on CPU via ONNX Runtime.