Dataset Versions

Versions
2024-01-20 2:17pm
v30
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a year ago
2024-01-20 2:12pm
v29
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a year ago
2024-01-20 2:08pm
v28
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a year ago
2024-01-16 7:42pm
v27
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a year ago
2024-01-10 7:33pm
v26
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a year ago
2024-01-10 2:15pm
v25
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a year ago
2024-01-05 9:44pm
v24
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a year ago
2024-01-04 7:37pm
v23
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a year ago
2024-01-04 12:53pm
v22
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a year ago
2023-12-25 11:13pm
v21
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a year ago
2023-12-25 10:32pm
v20
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a year ago
2023-12-22 11:46pm
v19
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a year ago
2023-12-20 4:59pm
v18
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a year ago
2023-12-20 11:16am
v17
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a year ago
2023-12-19 10:24am
v16
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a year ago
2023-12-16 9:55am
v15
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a year ago
2023-12-16 8:59am
v14
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a year ago
2023-12-15 8:11pm
v12
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a year ago
2023-12-15 6:51pm
v11
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a year ago
2023-12-14 6:32pm
v10
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a year ago
2023-12-14 5:18pm
v9
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a year ago
2023-12-14 2:31pm
v8
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a year ago
2023-12-14 1:11pm
v7
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a year ago
2023-12-12 5:32pm
v6
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a year ago
2023-12-12 1:42pm
v5
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a year ago
2023-12-12 10:59am
v4
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a year ago
2023-12-12 9:03am
v3
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a year ago
2023-12-09 3:45pm
v2
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a year ago
2023-12-09 3:01pm
v1
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a year ago
v3

2023-12-12 9:03am

Generated on Dec 12, 2023
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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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424 Total Images

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Dataset Split

Train Set 88%
372Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +25%

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