Dataset Versions

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2024-05-15 1:21pm
v14
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6 months ago
2024-05-15 1:17pm
v13
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6 months ago
2024-05-02 10:53am
v12
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7 months ago
2024-05-02 9:55am
v11
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7 months ago
2024-04-29 2:30pm
v10
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7 months ago
2024-04-29 1:11am
v9
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7 months ago
2024-04-26 4:46pm
v8
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7 months ago
2024-04-25 10:50am
v7
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7 months ago
2024-04-25 10:47am
v6
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7 months ago
2024-04-24 3:37pm
v5
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7 months ago
2024-04-24 3:08pm
v4
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7 months ago
2024-04-24 1:31pm
v3
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7 months ago
2024-04-24 11:38am
v2
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7 months ago
2024-04-23 3:28pm
v1
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7 months ago
v13

2024-05-15 1:17pm

Generated on May 15, 2024
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1093 Total Images

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Dataset Split

Train Set 94%
1029Images
Valid Set 4%
42Images
Test Set 2%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 1024x1024
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 18% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Noise: Up to 0.04% of pixels
Mosaic: Applied

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