Dataset Versions
v2
2024-08-07 1:12pm
Generated on Aug 7, 2024
1484 Total Images
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Dataset Split
Train Set 88%
1299Images
Valid Set 8%
124Images
Test Set 4%
61Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.63% of pixels