Dataset Versions

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Versions
raw-images
v7
·
2 years ago
test
v6
·
2 years ago
AdaptEqualize_5images_augmented15x_StrechTo416
v5
·
2 years ago
HistEqualize_5images_augmented15x_StrechTo416
v4
·
2 years ago
ContrastStretch_5images_augmented15x_StrechTo416
v3
·
2 years ago
test1_5images_augmented15x_FitWithin416
v2
·
2 years ago
test1_5images_augmented15x_StrechTo416
v1
·
2 years ago
v3

ContrastStretch_5images_augmented15x_StrechTo416

Generated on Nov 3, 2022
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47 Total Images

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Dataset Split

Train Set 96%
45Images
Valid Set 2%
1Images
Test Set 2%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 15
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 5 boxes with 3% size each

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