Dataset Versions
v4
2023-06-08 12:45pm
Generated on Jun 8, 2023
7507 Total Images
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Dataset Split
Train Set 83%
6221Images
Valid Set 12%
893Images
Test Set 5%
393Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 26-79% Horizontal Region, 0-88% Vertical Region
Resize: Fill (with center crop) in 200x200
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 6 rows x 6 columns
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, 17% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 70% of images
Hue: Between -85° and +85°
Saturation: Between -43% and +43%
Brightness: Between -25% and +25%
Exposure: Between -38% and +38%
Noise: Up to 25% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 5px