CNN

data for yolo 700

Object Detection

data for yolo 700 Image Dataset

v4

2022-11-01 12:25pm

Generated on Nov 1, 2022

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Dataset Split

Train Set 85%
590Images
Valid Set 14%
100Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2px