Dataset Versions
v1
2024-06-17 1:51pm
Generated on Jun 17, 2024
90 Total Images
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Dataset Split
Train Set 90%
81Images
Valid Set 10%
9Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 3 columns
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
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.7px
Noise: Up to 1.84% of pixels
Bounding Box: Noise: Up to 0.02% of pixels