Dataset Versions
Versions
v1
2022-12-21 5:15pm
Generated on Dec 21, 2022
540 Total Images
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Dataset Split
Train Set 87%
468Images
Valid Set 7%
40Images
Test Set 6%
32Images
Preprocessing
Auto-Orient: Applied
Static Crop: 6-97% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each