Dataset Versions

v6

2024-12-06 10:10am

Generated on Dec 6, 2024

Dataset Split

Train Set 76%
225Images
Valid Set 13%
38Images
Test Set 12%
35Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
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%