Dataset Versions

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Versions
without-aug-1024
v27
·
a year ago
without-aug-256
v26
·
a year ago
aug-256
v25
·
a year ago
aug-1024
v24
·
a year ago
2023-12-26 6:47am
v22
·
a year ago
aug-640
v21
·
a year ago
2023-12-26 6:40am
v20
·
a year ago
without-aug-640
v17
·
a year ago
with aug-preprocess and 7 classes
v3
·
a year ago
with augmantation - preprocessing
v1
·
a year ago
v24

aug-1024

Generated on Jan 8, 2024
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1812 Total Images

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Dataset Split

Train Set 87%
1584Images
Valid Set 13%
228Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%
Noise: Up to 1.34% of pixels

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