Dataset Versions
v1
With Augmentations
Generated on Sep 11, 2024
308 Total Images
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Dataset Split
Train Set 72%
222Images
Valid Set 14%
43Images
Test Set 14%
43Images
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°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px