Dataset Versions

v2

2023-09-27 5:18pm

Generated on Sep 27, 2023

Dataset Split

Train Set 92%
1197Images
Valid Set 4%
50Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 6% of pixels

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