Dataset Versions
v2
2024-02-09 11:29am
Generated on Feb 9, 2024
10400 Total Images
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Dataset Split
Train Set 92%
9600Images
Valid Set 4%
400Images
Test Set 4%
400Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% 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 -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied