Dataset Versions

v3

2024-11-20 12:46pm

Generated on Nov 20, 2024

Dataset Split

Train Set 90%
36Images
Valid Set 10%
4Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.9px
Noise: Up to 1.21% of pixels
Bounding Box: Rotation: Between -15° and +15°

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