Dataset Versions
v2
2023-10-29 5:20pm
Generated on Oct 29, 2023
649 Total Images
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Dataset Split
Train Set 92%
597Images
Valid Set 4%
26Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -31% and +31%