Dataset Versions
v2
2023-07-22 10:08am
Generated on Jul 22, 2023
344 Total Images
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Dataset Split
Train Set 94%
324Images
Valid Set 3%
12Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -11° and +11°
Saturation: Between -25% and +25%
Brightness: Between -13% and +13%
Exposure: Between -8% and +8%
Blur: Up to 2.25px