Dataset Versions
v2
2023-09-26 5:49pm
Generated on Sep 26, 2023
605 Total Images
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Dataset Split
Train Set 89%
537Images
Valid Set 7%
43Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied