Dataset Versions

v11

2024-12-25 1:17am

Generated on Dec 24, 2024

Dataset Split

Train Set 85%
444Images
Valid Set 8%
44Images
Test Set 7%
36Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (white edges) in 850x850
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 1 rows x 1 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 23% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.1% of pixels