Dataset Versions
v3
2022-10-10 11:12am
Generated on Oct 10, 2022
7897 Total Images
View All ImagesDataset Split
Train Set 87%
6876Images
Valid Set 9%
743Images
Test Set 4%
278Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Tile: 5 rows x 5 columns
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px