Dataset Versions
Versions
v1
2023-09-22 5:48pm
Generated on Sep 22, 2023
363 Total Images
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Dataset Split
Train Set 90%
327Images
Valid Set 6%
22Images
Test Set 4%
14Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Hue: Between -30° and +30°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 25 boxes with 5% size each
Mosaic: Applied