Dataset Versions

v1

2022-05-28 3:11am

Generated on May 27, 2022

Dataset Split

Train Set 88%
2679Images
Valid Set 8%
245Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 244x244
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -27% and +27%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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