Dataset Versions

v1

2024-04-29 5:36pm

Generated on Apr 29, 2024

Dataset Split

Train Set 88%
13440Images
Valid Set 9%
1408Images
Test Set 3%
512Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels