Dataset Versions
v6
2024-08-29 5:32am
Generated on Aug 29, 2024
796 Total Images
View All Images
Dataset Split
Train Set 87%
696Images
Valid Set 8%
64Images
Test Set 5%
36Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-81% Horizontal Region, 20-88% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels