Oct31_test Dataset
v2
2024-11-01 3:30am
Generated on Nov 1, 2024
808 Total Images
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Dataset Split
Train Set 89%
720Images
Valid Set 5%
44Images
Test Set 5%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied