Dataset Versions

v1

2024-02-06 4:03pm

Generated on Feb 6, 2024

Dataset Split

Train Set 87%
2367Images
Valid Set 8%
227Images
Test Set 4%
114Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
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
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%

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