Dataset Versions
v8
2023-01-09 9:13pm
Generated on Jan 9, 2023
1058 Total Images
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Dataset Split
Train Set 78%
828Images
Valid Set 11%
118Images
Test Set 11%
112Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 1 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -60° and +60°
Saturation: Between -40% and +40%
Brightness: Between -40% and +40%
Exposure: Between -40% and +40%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 25% size each