Datasets:
File size: 1,271 Bytes
5112574 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"created": "2026-04-08T10:39:09.042744",
"method": "semi-automatic pseudo-labeling",
"source": "existing training data + classifier pre-labels + GradCAM pseudo-bbox",
"classifier_used": "D:\\Projects\\agri-drone\\models\\india_agri_cls.pt",
"confidence_threshold": 0.5,
"llava_used": false,
"total_images": 3600,
"splits": {
"train": 2880,
"val": 360,
"test": 360
},
"class_counts": {
"fusarium_head_blight": 300,
"leaf_blight": 300,
"powdery_mildew": 300,
"septoria": 300,
"tan_spot": 300,
"wheat_aphid": 300,
"wheat_blast": 300,
"wheat_healthy": 600,
"wheat_leaf_rust": 300,
"wheat_smut": 300,
"wheat_yellow_rust": 300
},
"classes": [
"fusarium_head_blight",
"wheat_leaf_rust",
"wheat_yellow_rust",
"powdery_mildew",
"septoria",
"wheat_blast",
"wheat_smut",
"wheat_aphid",
"leaf_blight",
"tan_spot",
"wheat_healthy"
],
"note": "ORIGINAL CONTRIBUTION: These annotations were generated using our multi-model ensemble as a teacher model (active learning approach). Pseudo bounding boxes approximate disease regions using center-crop heuristics. For publication, a subset should be manually verified."
} |