Dataset Versions
v3
2023-09-23 8:38pm
Generated on Sep 23, 2023
35204 Total Images
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Dataset Split
Train Set 88%
30816Images
Valid Set 8%
2924Images
Test Set 4%
1464Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -41° and +41°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 45% of images
Hue: Between -38° and +38°
Saturation: Between -60% and +60%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each