Dataset Versions
v5
2023-08-07 9:09pm
Generated on Aug 7, 2023
1414 Total Images
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Dataset Split
Train Set 93%
1320Images
Valid Set 4%
59Images
Test Set 2%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -25° and +25°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Cutout: 9 boxes with 19% size each
Mosaic: Applied