Dataset Versions
v1
2023-06-22 1:31am
Generated on Jun 21, 2023
590 Total Images
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Dataset Split
Train Set 87%
516Images
Valid Set 8%
49Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 20% of images
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -20% and +20%