Dataset Versions
Versions
v1
2024-07-03 3:31pm
Generated on Jul 3, 2024
81 Total Images
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Dataset Split
Train Set 93%
75Images
Valid Set 7%
6Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -28% and +28%
Blur: Up to 2.5px
Noise: Up to 0.65% of pixels
Cutout: 2 boxes with 10% size each