Dataset Versions

v1

2024-06-15 12:49pm

Generated on Jun 15, 2024

Dataset Split

Train Set 88%
11046Images
Valid Set 8%
1036Images
Test Set 4%
521Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each

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