Dataset Versions

v10

2024-04-29 2:30pm

Generated on Apr 29, 2024

Dataset Split

Train Set 95%
1191Images
Valid Set 4%
45Images
Test Set 2%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 1024x1024
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% 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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