Dataset Versions
v2
2024-07-11 7:02am
Generated on Jul 11, 2024
188 Total Images
View All Images
Dataset Split
Train Set 88%
165Images
Valid Set 8%
15Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.03% of pixels