Dataset Versions

Versions
2024-09-11 12:15pm
v21
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2 months ago
2024-09-10 2:08pm
v20
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2 months ago
2024-08-09 6:08am
v19
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3 months ago
2024-08-07 3:53pm
v18
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3 months ago
2024-08-07 10:18am
v17
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3 months ago
2024-08-06 2:33pm
v16
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3 months ago
2024-08-02 11:42am
v15
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3 months ago
2024-08-01 2:28pm
v14
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3 months ago
2024-07-31 7:47am
v13
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4 months ago
2024-06-21 1:11pm
v12
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5 months ago
2024-06-21 12:46pm
v11
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5 months ago
2024-06-21 10:17am
v10
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5 months ago
2024-06-21 10:10am
v9
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5 months ago
2024-06-19 2:17pm
v8
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5 months ago
2024-06-19 8:25am
v6
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5 months ago
2024-06-19 8:08am
v5
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5 months ago
2024-06-19 7:41am
v4
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5 months ago
2024-06-14 11:03am
v3
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5 months ago
2024-06-12 4:16pm
v2
·
5 months ago
2024-06-07 2:18pm
v1
·
5 months ago
v9

2024-06-21 10:10am

Generated on Jun 21, 2024
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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346 Total Images

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Dataset Split

Train Set 92%
318Images
Valid Set 8%
28Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 1.09% of pixels

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