Dataset Versions
Versions
v1
2023-09-13 12:40pm
Generated on Sep 13, 2023
4 Total Images
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Dataset Split
Train Set 75%
3Images
Valid Set 25%
1Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±26° Vertical
Grayscale: Apply to 25% of images
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between -38% and +38%
Exposure: Between -25% and +25%
Blur: Up to 3.25px
Noise: Up to 8% of pixels
Cutout: 20 boxes with 8% size each