Dataset Versions

v4

2024-04-24 3:08pm

Generated on Apr 24, 2024

Dataset Split

Train Set 95%
1098Images
Valid Set 3%
37Images
Test Set 1%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 1040x1040
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 20% Minimum Zoom, 50% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Noise: Up to 0.04% of pixels
Mosaic: Applied

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