Dataset Versions
v1
2024-03-03 11:01am
Generated on Mar 3, 2024
24164 Total Images
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Dataset Split
Train Set 92%
22260Images
Valid Set 4%
948Images
Test Set 4%
956Images
Preprocessing
Auto-Orient: Applied
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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 17% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3.8px
Noise: Up to 1.84% of pixels