Dataset Versions

v16

2024-08-30 4:33pm

Generated on Aug 30, 2024

Dataset Split

Train Set 96%
387Images
Valid Set 4%
17Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2px
Noise: Up to 1.25% of pixels
Bounding Box: Brightness: Between -10% and +10%