Dataset Versions
v2
2024-11-17 5:35pm
Generated on Nov 17, 2024
23 Total Images
View All Images
Dataset Split
Train Set 78%
18Images
Valid Set 13%
3Images
Test Set 9%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%