Dataset Versions
v1
2024-08-19 12:27pm
Generated on Aug 19, 2024
35600 Total Images
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Dataset Split
Train Set 88%
31152Images
Valid Set 8%
2960Images
Test Set 4%
1488Images
Preprocessing
Auto-Orient: Applied
Static Crop: 19-100% Horizontal Region, 11-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 4 rows x 4 columns
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±17° Vertical
Hue: Between -148° and +148°
Exposure: Between -14% and +14%
Noise: Up to 0.97% of pixels