Dataset Versions
v1
2023-09-11 9:10am
Generated on Sep 11, 2023
2304 Total Images
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Dataset Split
Train Set 61%
1404Images
Valid Set 26%
600Images
Test Set 13%
300Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Cutout: 3 boxes with 20% size each