Dataset Versions

v9

2023-09-03 9:22pm

Generated on Sep 3, 2023

Dataset Split

Train Set 88%
99Images
Valid Set 9%
10Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±26° Horizontal, ±12° Vertical
Grayscale: Apply to 20% of images
Hue: Between -21° and +21°
Brightness: Between -8% and +8%
Exposure: Between -8% and +8%
Blur: Up to 1px