Potato Leaves Disease Detection Image Dataset
Versions
2024-04-28 7:48pm
v15
· 2 months ago
2024-04-28 7:46pm
v14
· 2 months ago
2024-04-24 9:14am
v13
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2024-04-24 8:48am
v12
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2024-04-23 5:43pm
v11
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2024-04-23 1:12pm
v10
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2024-04-23 12:33pm
v9
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2024-04-14 5:02am
v8
· 2 months ago
2024-04-09 2:09pm
v7
· 3 months ago
2024-04-09 12:09pm
v6
· 3 months ago
2024-03-22 4:21pm
v3
· 3 months ago
2024-03-20 4:04pm
v2
· 3 months ago
v15
2024-04-28 7:48pm
Generated on Apr 28, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1398 Total Images
View All Images
Dataset Split
Train Set 88%
1224Images
Valid Set 8%
117Images
Test Set 4%
57Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Bounding Box: Rotation: Between -15° and +15°
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