Dataset Versions
Versions
v1
2023-08-26 6:28pm
Generated on Aug 27, 2023
28688 Total Images
View All Images
Dataset Split
Train Set 88%
25104Images
Valid Set 8%
2384Images
Test Set 4%
1200Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-93% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels