Dataset Versions
Versions
v1
2024-03-23 9:33pm
Generated on Mar 23, 2024
30144 Total Images
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Dataset Split
Train Set 84%
25296Images
Valid Set 9%
2676Images
Test Set 7%
2172Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 29-70% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 3% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 12% of images
Hue: Between -10° and +10°
Saturation: Between -13% and +13%
Brightness: Between -12% and +12%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.34% of pixels