Dataset Versions
v3
2024-06-17 2:10pm
Generated on Jun 17, 2024
11 Total Images
View All Images
Dataset Split
Train Set 82%
9Images
Valid Set 9%
1Images
Test Set 9%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: 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
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.7px
Noise: Up to 1.84% of pixels