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2024-05-14 10:30am
v28
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6 months ago
2024-05-07 4:41pm
v27
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6 months ago
2024-04-24 10:00am
v26
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7 months ago
2024-04-24 8:17am
v25
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7 months ago
2024-04-21 7:18pm
v24
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7 months ago
2024-04-19 3:01pm
v23
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7 months ago
2024-04-19 2:41pm
v22
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7 months ago
2024-04-19 2:26pm
v21
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7 months ago
2024-04-19 2:20pm
v20
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7 months ago
2024-04-19 2:10pm
v19
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7 months ago
2024-04-19 1:49pm
v18
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7 months ago
2024-04-19 1:44pm
v17
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7 months ago
2024-04-19 1:09pm
v16
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7 months ago
2024-04-18 1:41pm
v15
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7 months ago
2024-04-18 1:34pm
v14
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7 months ago
2024-04-16 1:28pm
v13
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7 months ago
2024-03-28 3:01pm
v12
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8 months ago
2024-03-15 3:52pm
v11
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8 months ago
2024-03-11 12:33pm
v10
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8 months ago
2024-03-06 10:41am
v9
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9 months ago
2024-03-06 10:18am
v8
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9 months ago
2024-03-04 6:21pm
v7
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9 months ago
2024-03-04 6:18pm
v6
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9 months ago
2024-03-02 5:36pm
v5
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9 months ago
2024-03-01 10:07pm
v4
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9 months ago
2024-03-01 7:06pm
v3
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9 months ago
2024-03-01 5:13pm
v2
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9 months ago
2024-03-01 4:34pm
v1
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9 months ago
v26

2024-04-24 10:00am

Generated on Apr 24, 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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440 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 77%
339Images
Valid Set 8%
37Images
Test Set 15%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Noise: Up to 0.5% of pixels

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