Dataset Versions
v1
2024-06-14 3:37am
Generated on Jun 14, 2024
364 Total Images
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Dataset Split
Train Set 87%
318Images
Valid Set 13%
46Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 4% of images
Saturation: Between -25% and +25%
Brightness: Between -13% and +13%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each