Dataset Versions

v5

2023-11-08 5:51pm

Generated on Nov 8, 2023

Dataset Split

Train Set 89%
204Images
Valid Set 11%
25Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -70° and +70°
Brightness: Between -14% and +14%
Noise: Up to 3% of pixels

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