Dataset Versions

v4

2023-11-30 11:09pm

Generated on Nov 30, 2023

Dataset Split

Train Set 95%
8190Images
Valid Set 3%
281Images
Test Set 2%
145Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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