Dataset Versions
v4
2024-08-08 8:15am
Generated on Aug 8, 2024
77 Total Images
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Dataset Split
Train Set 94%
72Images
Valid Set %
0Images
Test Set 6%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -29° and +29°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.01% of pixels