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Digital-billboard

Object Detection

Digital-billboard Image Dataset

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Versions
TEST faster r-cnn
v2
Apr 23, 2024
2023-06-29 4:44pm
v1
Jun 29, 2023
v2

TEST faster r-cnn

Generated on Apr 23, 2024
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Pascal VOC XML
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5238 Total Images

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Dataset Split

Train Set 84%
4384Images
Valid Set 11%
550Images
Test Set 6%
304Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x1280

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±12° Horizontal, ±8° Vertical
Grayscale: Apply to 1% of images
Hue: Between -25° and +25°
Blur: Up to 0.5px
Noise: Up to 1% of pixels