Dataset Versions
v2
2024-02-13 2:35pm
Generated on Feb 13, 2024
824 Total Images
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Dataset Split
Train Set 93%
768Images
Valid Set 5%
40Images
Test Set 2%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -31° and +31°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%