Oct31_test Dataset
v1
2024-11-01 2:00am
Generated on Nov 1, 2024
1424 Total Images
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Dataset Split
Train Set 90%
1280Images
Valid Set 7%
96Images
Test Set 3%
48Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (black edges) in 2048x2048
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Crop: 0% Minimum Zoom, 20% Maximum Zoom
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