container damage detection Dataset

v1

2023-05-30 3:57pm

Generated on May 30, 2023

Dataset Split

Train Set 87%
621Images
Valid Set 8%
59Images
Test Set 4%
30Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±23° Horizontal, ±32° Vertical
Grayscale: Apply to 92% of images
Blur: Up to 1.75px
Noise: Up to 3% of pixels