Dataset Versions
v2
UniqueWithAugmentationAndTile3Class
Generated on Jul 19, 2024
1572 Total Images
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Dataset Split
Train Set 88%
1380Images
Valid Set 8%
128Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.53% of pixels
Cutout: 3 boxes with 10% size each