Dataset Versions

v1

2024-06-19 5:33am

Generated on Jun 19, 2024

Dataset Split

Train Set 90%
2336Images
Valid Set 7%
172Images
Test Set 4%
92Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 4
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 10% of pixels

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