Dataset Versions
v3
augument
Generated on Apr 15, 2023
236 Total Images
View All Images
Dataset Split
Train Set 99%
234Images
Valid Set 0%
1Images
Test Set 0%
1Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise