Dataset Versions
Versions
v1
2024-04-26 11:19am
Generated on Apr 26, 2024
330 Total Images
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Dataset Split
Train Set 100%
330Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -29% and +29%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 0.58% of pixels