Dataset Versions
v4
2024-01-09 11:16pm
Generated on Jan 9, 2024
1566 Total Images
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Dataset Split
Train Set 87%
1362Images
Valid Set 9%
138Images
Test Set 4%
66Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Filter by Tag: 0 required, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Shear: ±13° Horizontal, ±14° Vertical
Grayscale: Apply to 24% of images
Hue: Between -21° and +21°
Exposure: Between -14% and +14%
Blur: Up to 4.6px
Noise: Up to 1.88% of pixels