Dataset Versions
v6
2024-12-09 11:07pm
Generated on Dec 10, 2024
650 Total Images
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Dataset Split
Train Set 87%
567Images
Valid Set 8%
55Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -9° and +9°
Hue: Between -7° and +7°
Saturation: Between -8% and +8%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.2px
Noise: Up to 0.47% of pixels