Dataset Versions

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Versions
2023-11-28 4:19pm
v13
·
a year ago
2023-11-21 2:57pm
v12
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a year ago
2023-11-21 1:45pm
v11
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a year ago
2023-11-21 3:21am
v10
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a year ago
2023-11-21 1:29am
v9
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a year ago
2023-11-19 10:22am
v8
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a year ago
2023-11-06 12:28am
v7
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a year ago
2023-11-05 8:18pm
v6
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a year ago
2023-10-28 6:44pm
v5
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a year ago
2023-10-28 6:36pm
v4
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a year ago
2023-10-28 11:37am
v3
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a year ago
2023-10-28 2:08am
v2
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a year ago
2023-10-27 2:56pm
v1
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a year ago
v11

2023-11-21 1:45pm

Generated on Nov 21, 2023
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1623 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 91%
1482Images
Valid Set 7%
111Images
Test Set 2%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Cutout: 3 boxes with 15% size each
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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