terminals-damage Dataset

v1

2023-10-04 4:28pm

Generated on Oct 4, 2023

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Dataset Split

Train Set 100%
885Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -49% and +49%
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Defects-on-terminals
342 images
defects_on_pos
98 images
defects-on-terminals
98 images
defects
98 images
defects-on-terminals
98 images