Dataset Versions
Versions
v1
2024-06-03 6:19pm
Generated on Jun 3, 2024
260 Total Images
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Dataset Split
Train Set 92%
240Images
Valid Set 8%
20Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -29% and +29%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.6% of pixels
Cutout: 25 boxes with 5% size each