Dataset Versions

v2

retrain_extended_dataset_with_failed_images

Generated on Dec 8, 2021

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Dataset Split

Train Set 100%
291Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels
Cutout: 5 boxes with 10% size each

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