Dataset Versions

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Versions
2024-03-09 10:46am
v29
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8 months ago
2024-03-07 9:49am
v28
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8 months ago
2024-03-07 9:49am
v27
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8 months ago
2024-03-07 9:48am
v26
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8 months ago
2024-03-07 9:46am
v25
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8 months ago
2024-03-07 9:45am
v24
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8 months ago
2024-03-07 9:45am
v23
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8 months ago
2024-03-07 9:43am
v22
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8 months ago
2024-03-07 9:42am
v21
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8 months ago
2024-03-07 9:40am
v20
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8 months ago
2024-03-07 9:39am
v19
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8 months ago
2024-03-07 9:38am
v18
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8 months ago
2024-03-07 9:35am
v17
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8 months ago
2024-03-02 11:46am
v16
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8 months ago
2024-02-28 9:44am
v15
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9 months ago
2024-02-26 8:52pm
v14
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9 months ago
2024-02-22 4:45pm
v13
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9 months ago
2024-02-22 4:26pm
v12
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9 months ago
2024-02-20 11:13am
v11
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9 months ago
2024-02-20 10:17am
v10
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9 months ago
2024-02-02 10:09am
v9
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9 months ago
2024-01-23 4:34pm
v8
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10 months ago
2024-01-12 4:18pm
v7
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10 months ago
2024-01-12 4:08pm
v6
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10 months ago
2024-01-12 3:41pm
v5
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10 months ago
2024-01-12 3:35pm
v4
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10 months ago
2024-01-12 3:22pm
v3
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10 months ago
Augmentation
v2
·
10 months ago
First version
v1
·
10 months ago
v17

2024-03-07 9:35am

Generated on Mar 7, 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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166 Total Images

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Dataset Split

Train Set 90%
150Images
Valid Set 5%
8Images
Test Set 5%
8Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical

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