Dataset Versions
v1
2022-08-03 9:28am
Generated on Aug 3, 2022
4314 Total Images
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Dataset Split
Train Set 100%
4314Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -49% and +49%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 5% size each