Dataset Versions
v7
2023-07-25 8:19pm
Generated on Jul 25, 2023
2916 Total Images
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Dataset Split
Train Set 81%
2349Images
Valid Set 10%
297Images
Test Set 9%
270Images
Preprocessing
Auto-Orient: Applied
Static Crop: 16-82% Horizontal Region, 17-85% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 13% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
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: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels