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HandsAndFists

Object Detection

HandsAndFists Image Dataset

v3

2022-02-20 11:32pm

Generated on Feb 20, 2022

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Dataset Split

Train Set 96%
2784Images
Valid Set 3%
98Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -180° and +180°
Saturation: Between -75% and +75%
Brightness: Between 0% and +35%
Exposure: Between -5% and +5%
Blur: Up to 2px
Cutout: 25 boxes with 2% size each
All-objects
251 images
1-2-3-4-5-6-7-8-9-0
1732 images
Person-HW-nextlevel-palm-person-palm-person
2005 images
objects
428 images