Dataset Versions

v1

2023-09-21 4:14pm

Generated on Sep 21, 2023

Dataset Split

Train Set 90%
237Images
Valid Set 10%
25Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±9° Horizontal, ±6° Vertical
Saturation: Between -56% and +56%
Brightness: Between -53% and +53%
Exposure: Between -30% and +30%
Blur: Up to 2.25px
Noise: Up to 4% of pixels
Cutout: 6 boxes with 10% size each
Mosaic: Applied

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