Dataset Versions
Versions
v1
2024-07-24 6:30am
Generated on Jul 24, 2024
1043 Total Images
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Dataset Split
Train Set 98%
1026Images
Valid Set 1%
12Images
Test Set 0%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 5% of images
Hue: Between -4° and +4°
Saturation: Between -9% and +9%
Brightness: Between -6% and +6%
Exposure: Between -5% and +5%