Dataset Versions
v8
2023-07-26 10:31am
Generated on Jul 26, 2023
324 Total Images
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Dataset Split
Train Set 81%
261Images
Valid Set 10%
33Images
Test Set 9%
30Images
Preprocessing
Auto-Orient: Applied
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 13% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 43% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -22% and +22%
Blur: Up to 7px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -52% and +52%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels