AI model for detecting diseases on Rosa damascena (Bulgarian oil-bearing rose).
Status: Early test version (v1)
This model is still in training and may produce errors.
We are continuously improving it with new data from real parcels.
What it detects
Class
Bulgarian
Notes
Black Spot
Черни петна
Marssonina rosae
Downy Mildew
Мана
Peronospora sparsa
Powdery Mildew
Брашнеста мана
Podosphaera pannosa
Normal
Здраво растение
No disease detected
Coming in future versions: pests (aphids, spider mites), weeds.
Results
mAP50 = 0.921
Precision = 0.925
Recall = 0.884
Architecture: YOLOv11n
Training: 50 epochs, 640px, batch 16
How to use
python
1from ultralytics import YOLO
23model = YOLO("piivanov77/rose-disease-detection/best_v1.pt")4results = model.predict("your_image.jpg", conf=0.25)56for r in results:7for box in r.boxes:8print(model.names[int(box.cls[0])],f"{float(box.conf[0]):.0%}")
Images: 3702, Classes: Black Spot, Downy Mildew, Normal, Powdery Mildew
License
CC BY 4.0 — free to use with attribution.
Citation
Rose Disease Detection YOLOv11 — Rosa damascena
Trained by Pavel Ivanov, 2026
Dataset: vinodk @ Roboflow Universe (CC BY 4.0)
https://universe.roboflow.com/vinodk-cb0f7/rose-disease-prediction-yolov5
