aircom Dataset

v2

2023-01-16 5:07pm

Generated on Jan 16, 2023

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Dataset Split

Train Set 90%
750Images
Valid Set 10%
79Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
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 -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Noise: Up to 5% of pixels

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