Dataset Versions

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Versions
dry_origsize_no_augment
v10
·
a year ago
wet_origsize_no_augment
v8
·
a year ago
wet_origsize_augment
v7
·
a year ago
dry_origsize_augment
v6
·
a year ago
raw_all
v5
·
a year ago
wet_augment
v4
·
a year ago
dry_augment
v2
·
a year ago
v4

wet_augment

Generated on Oct 19, 2023
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Dataset Split

Train Set 83%
48Images
Valid Set 9%
5Images
Test Set 9%
5Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Noise: Up to 5% of pixels
Mosaic: Applied

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