Object Detection using Roboflow and Active Learning

Dice

Object Detection

Dice Image Dataset

v2

2022-08-13 5:41pm

Generated on Aug 13, 2022

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Dataset Split

Train Set 95%
6111Images
Valid Set 3%
194Images
Test Set 2%
97Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -180° and +180°
Saturation: Between -75% and +75%
Brightness: Between -33% and +33%
Exposure: Between -10% and +10%
Blur: Up to 2px
Cutout: 1 boxes with 33% size each