Plants Detection Saudi Arabia Image Dataset
Versions
v1
2023-06-13 11:31pm
Generated on Jun 13, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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COCO JSON
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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60 Total Images
View All Images
Dataset Split
Train Set 85%
51Images
Valid Set 12%
7Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 7% of images
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