Dataset Versions

v11

tile-80null-Donly

Generated on May 2, 2024

Dataset Split

Train Set 74%
423Images
Valid Set 13%
76Images
Test Set 12%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%

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