Dataset Versions

v4

gen

Generated on Mar 24, 2024

Dataset Split

Train Set 95%
5832Images
Valid Set 4%
264Images
Test Set 1%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -40% and +40%
Noise: Up to 11% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 25% of pixels

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