Dataset Versions

v3

2000-

Generated on May 26, 2024

Dataset Split

Train Set 82%
2040Images
Valid Set 10%
248Images
Test Set 8%
192Images

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
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

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