Dataset Versions
v5
2024-05-10 4:08pm
Generated on May 10, 2024
865 Total Images
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Dataset Split
Train Set 92%
798Images
Valid Set 4%
34Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels