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Versions
2025-01-16 6:16pm
v37
·
8 days ago
2025-01-12 5:39pm
v36
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12 days ago
2025-01-10 7:43pm
v35
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14 days ago
2025-01-10 7:18pm
v31
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14 days ago
2025-01-09 5:45pm
v30
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15 days ago
2025-01-09 5:23pm
v29
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15 days ago
2025-01-09 12:53pm
v28
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16 days ago
2025-01-09 10:41am
v26
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16 days ago
2025-01-09 8:40am
v25
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16 days ago
2025-01-09 7:58am
v24
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16 days ago
2025-01-08 7:45pm
v23
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16 days ago
non-cooked v1
v22
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16 days ago
2025-01-07 6:12pm
v20
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17 days ago
2025-01-03 5:54pm
v19
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21 days ago
2024-12-31 10:32pm
v18
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24 days ago
2024-12-27 1:33am
v17
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a month ago
2024-12-27 12:52am
v16
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a month ago
2024-12-27 12:36am
v15
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a month ago
2024-12-23 5:49pm
v14
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a month ago
2024-12-21 2:51am
v13
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a month ago
2024-12-20 10:46pm
v12
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a month ago
2024-12-20 9:53pm
v10
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a month ago
2024-10-30 8:09pm
v7
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3 months ago
2024-10-29 12:33pm
v6
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3 months ago
2024-10-29 10:14am
v5
·
3 months ago
2024-10-28 3:01pm
v1
·
3 months ago
v29

2025-01-09 5:23pm

Generated on Jan 9, 2025
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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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2478 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 94%
2325Images
Valid Set 4%
103Images
Test Set 2%
50Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 7
Exposure: Between -15% and +15%

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