Dataset Versions
Versions
v2
2023-05-21 12:35pm
Generated on May 21, 2023
25356 Total Images
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Dataset Split
Train Set 90%
22830Images
Valid Set 6%
1476Images
Test Set 4%
1050Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -35% and +35%
Brightness: Between -32% and +32%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 6% of pixels