Dataset Versions

Versions
2023-04-26 10:02am
v17
·
2 years ago
2022-12-25 3:29am
v16
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2 years ago
2022-11-22 6:42pm
v15
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2 years ago
2022-11-22 6:29pm
v14
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2 years ago
2022-11-22 6:20pm
v13
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2 years ago
2022-11-21 6:54pm
v12
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2 years ago
2022-11-18 6:21pm
v11
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2 years ago
2022-11-18 5:59pm
v10
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2 years ago
2022-11-18 5:55pm
v9
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2 years ago
2022-11-18 4:36pm
v8
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2 years ago
2022-11-13 3:48am
v7
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2 years ago
2022-11-08 4:56pm
v6
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2 years ago
2022-11-08 4:53pm
v5
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2 years ago
2022-11-06 8:06pm
v4
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2 years ago
2022-11-05 10:42am
v3
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2 years ago
2022-11-04 7:45pm
v2
·
2 years ago
2022-11-04 4:26pm
v1
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2 years ago
v9

2022-11-18 5:55pm

Generated on Nov 18, 2022
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1426 Total Images

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Dataset Split

Train Set 94%
1344Images
Valid Set 4%
50Images
Test Set 2%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -10% and +10%

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