Dataset Versions

v4

2024-04-29 11:54am

Generated on Apr 29, 2024

Dataset Split

Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 512x512
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%