Dataset Versions
Versions
v1
2022-05-22 6:12am
Generated on May 21, 2022
4827 Total Images
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Dataset Split
Train Set 88%
4224Images
Valid Set 8%
402Images
Test Set 4%
201Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied