Dataset Versions
v2
2024-01-23 3:37am
Generated on Jan 23, 2024
398 Total Images
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Dataset Split
Train Set 87%
348Images
Valid Set 8%
33Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -24° and +24°
Grayscale: Apply to 39% of images
Brightness: Between -54% and +54%
Noise: Up to 9% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -55% and +55%