Dataset Versions
v2
2023-09-21 7:19pm
Generated on Sep 21, 2023
262 Total Images
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Dataset Split
Train Set 90%
237Images
Valid Set 10%
25Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±9° Horizontal, ±6° Vertical
Saturation: Between -59% and +59%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Mosaic: Applied