Dataset Versions
v2
2023-06-13 4:32pm
Generated on Jun 13, 2023
461 Total Images
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Dataset Split
Train Set 87%
399Images
Valid Set 10%
45Images
Test Set 4%
17Images
Preprocessing
Tile: 6 rows x 6 columns
Filter Null: Require at least 75% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -11% and +11%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels