Dataset Versions
v4
2022-09-18 9:09am
Generated on Sep 18, 2022
708 Total Images
View All Images
Dataset Split
Train Set 93%
660Images
Valid Set 5%
33Images
Test Set 2%
15Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 11% of images
Hue: Between -13° and +13°
Saturation: Between -8% and +8%
Blur: Up to 2.75px
Noise: Up to 3% of pixels