Dataset Versions
v4
2024-06-01 9:20pm
Generated on Jun 1, 2024
8540 Total Images
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Dataset Split
Train Set 76%
6512Images
Valid Set 19%
1588Images
Test Set 5%
440Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 5% of images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 1.99% of pixels