Dataset Versions

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Versions
2023-07-19 9:00am
v16
·
a year ago
2023-07-19 7:42am
v14
·
a year ago
2023-07-18 6:22pm
v13
·
a year ago
2023-07-18 5:49pm
v12
·
a year ago
2023-07-18 2:29pm
v11
·
a year ago
2023-07-18 1:32pm
v8
·
a year ago
2023-07-14 1:36pm
v3
·
a year ago
2023-07-14 9:38am
v1
·
a year ago
v13

2023-07-18 6:22pm

Generated on Jul 18, 2023
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4943 Total Images

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Dataset Split

Train Set 88%
4326Images
Valid Set 8%
412Images
Test Set 4%
205Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 3 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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