Dataset Versions
v1
2024-08-13 5:42am
Generated on Aug 13, 2024
996 Total Images
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Dataset Split
Train Set 92%
920Images
Valid Set 5%
52Images
Test Set 2%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -31% and +31%
Brightness: Between -15% and +15%