Dataset Versions
Versions
v1
2023-09-25 3:55pm
Generated on Sep 25, 2023
147 Total Images
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Dataset Split
Train Set 88%
129Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied