Dataset Versions
Versions
v1
2023-10-17 4:19pm
Generated on Oct 17, 2023
206 Total Images
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Dataset Split
Train Set 87%
180Images
Valid Set 8%
17Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 42% of images
Hue: Between -25° and +25°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 24% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical