Dataset Versions

v8

2023-06-21 4:56pm

Generated on Jun 21, 2023

Dataset Split

Train Set 88%
3246Images
Valid Set 7%
259Images
Test Set 5%
201Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1280x1280
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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