Dataset Versions

v6

2023-08-27 8:27pm

Generated on Aug 27, 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, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±26° Horizontal, ±12° Vertical
Grayscale: Apply to 25% of images
Hue: Between -21° and +21°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px