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2024-11-07 6:42pm
v36
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2 months ago
2024-11-07 6:41pm
v35
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2 months ago
2024-10-28 2:09pm
v34
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2 months ago
2024-10-28 2:08pm
v33
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2 months ago
2024-10-28 2:07pm
v32
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2 months ago
2024-10-26 8:18am
v30
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2 months ago
2024-10-24 10:32am
v29
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2 months ago
2024-10-24 9:05am
v28
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2 months ago
cropped_resized
v27
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2 months ago
2024-10-21 7:15pm
v23
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2 months ago
only_ROI
v22
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2 months ago
2024-10-21 11:13am
v21
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2 months ago
2024-10-21 10:31am
v19
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2 months ago
2024-10-21 9:36am
v16
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2 months ago
2024-10-21 6:16am
v14
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2 months ago
2024-10-16 11:39am
v13
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2 months ago
2024-10-16 8:32am
v11
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2 months ago
2024-10-16 8:29am
v10
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2 months ago
2024-10-16 8:06am
v9
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2 months ago
2024-10-10 3:52pm
v8
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2 months ago
2024-10-07 6:01pm
v7
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3 months ago
2024-10-07 5:42pm
v6
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3 months ago
2024-10-07 5:31pm
v5
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3 months ago
2024-10-06 12:25pm
v4
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3 months ago
2024-10-06 9:57am
v3
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3 months ago
2024-10-03 7:55pm
v2
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3 months ago
2024-10-03 3:45pm
v1
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3 months ago
v2

2024-10-03 7:55pm

Generated on Oct 3, 2024
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61 Total Images

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Dataset Split

Train Set 89%
54Images
Valid Set 8%
5Images
Test Set 3%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 720x720
Filter Null: Require at least 30% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 1.13% of pixels

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