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tfm_v1

Object Detection

tfm_v1 Image Dataset

v2

NOREAL_CASES

Generated on Nov 4, 2021

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Dataset Split

Train Set 84%
633Images
Valid Set 11%
82Images
Test Set 5%
41Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -11° and +11°
Blur: Up to 7.5px
Cutout: 3 boxes with 10% size each