Dataset Versions
Versions
v1
2024-11-04 7:04am
Generated on Nov 4, 2024
15309 Total Images
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Dataset Split
Train Set 87%
13395Images
Valid Set 8%
1276Images
Test Set 4%
638Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -94° and +94°
Saturation: Between -53% and +53%
Exposure: Between -41% and +41%
Noise: Up to 2.63% of pixels
Cutout: 3 boxes with 10% size each