betel_leaf_disease_classification¶
Dataset Metadata¶
| Metadata | Value |
|---|---|
| Machine Learning Task | image_classification |
| Agricultural Task | betel_leaf_disease_classification |
| Location | Bangladesh, Asia |
| Sensor Modality | RGB |
| Real or Synthetic | real |
| Platform | uav |
| Input Data Format | JPG |
| Annotation Format | directory_names |
| Number of Images | 3589 |
| Documentation | https://www.semanticscholar.org/paper/Betel-Leaf-Diseases-Classification-using-Machine-A-David-Mukunthan/38208c9d2306444e3b9f8593715a46e2dcf26f44#paper-topics |
| Classes | Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf |
| Stats/Mean | [0.443, 0.52, 0.324] |
| Stats/Standard Deviation | [0.186, 0.197, 0.218] |
Examples¶
