Dataset Versions

v3

2024-01-29 2:08pm

Generated on Jan 29, 2024

Dataset Split

Train Set 88%
120Images
Valid Set 8%
11Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -16° and +16°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.37% of pixels

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