Dataset Versions
v1
2024-04-18 10:55pm
Generated on Apr 19, 2024
61 Total Images
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Dataset Split
Train Set 89%
54Images
Valid Set 8%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Grayscale: Apply to 23% of images
Hue: Between -6° and +6°
Saturation: Between -30% and +30%
Brightness: Between -23% and +0%
Exposure: Between -14% and +14%
Blur: Up to 2.1px
Noise: Up to 1.16% of pixels