OD

MCCB

Object Detection

MCCB Image Dataset

v7

MCCB_E

Generated on Nov 9, 2021

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Dataset Split

Train Set 96%
1863Images
Valid Set %
0Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Blur: Up to 5px
Noise: Up to 5% of pixels