Dataset Versions

v1

2024-10-08 10:58am

Generated on Oct 8, 2024

Dataset Split

Train Set 92%
5118Images
Valid Set 8%
426Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3.5px
Noise: Up to 1.37% of pixels