Dataset Versions

v7

2024-04-17 1:42am

Generated on Apr 16, 2024

Dataset Split

Train Set 88%
1143Images
Valid Set 8%
109Images
Test Set 4%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -58° and +58°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -15% and +15%

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