Dataset Versions
v1
2023-10-04 6:19pm
Generated on Oct 4, 2023
344 Total Images
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Dataset Split
Train Set 94%
324Images
Valid Set 6%
20Images
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, 24% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±17° Vertical
Grayscale: Apply to 35% of images
Hue: Between -53° and +53°
Saturation: Between -41% and +41%
Brightness: Between -34% and +34%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 2% of pixels
Mosaic: Applied