shrinand aggarwal

pip

Object Detection

pip Image Dataset

v2

2022-08-06 5:01pm

Generated on Aug 6, 2022

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Dataset Split

Train Set 95%
72Images
Valid Set 5%
4Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -44° and +44°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 100% of images
Exposure: Between -4% and +4%
Blur: Up to 0.25px