Dataset Versions
v3
2024-04-27 8:08pm
Generated on Apr 27, 2024
432 Total Images
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Dataset Split
Train Set 89%
384Images
Valid Set 6%
24Images
Test Set 6%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.24% of pixels