Dataset Versions

Versions
2022-08-26 11:58pm
v35
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2 years ago
2022-08-26 8:17pm
v34
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2 years ago
2022-08-26 8:00pm
v33
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2 years ago
2022-08-26 7:42pm
v32
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2 years ago
2022-07-27 6:53pm
v31
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2 years ago
2022-07-27 6:30pm
v30
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2 years ago
2022-07-27 6:26pm
v29
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2 years ago
2022-07-27 6:02pm
v27
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2 years ago
2022-07-27 5:08pm
v26
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2 years ago
2022-07-27 4:47pm
v25
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2 years ago
2022-07-27 4:43pm
v24
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2 years ago
2022-07-22 10:43pm
v23
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2 years ago
2022-07-22 10:12pm
v19
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2 years ago
2022-07-22 9:29pm
v16
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2 years ago
2022-07-22 8:53pm
v14
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2 years ago
2022-07-22 8:48pm
v13
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2 years ago
2022-07-22 8:26pm
v12
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2 years ago
2022-07-22 8:04pm
v11
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2 years ago
2022-07-22 5:17pm
v10
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2 years ago
2022-07-22 5:15pm
v9
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2 years ago
2022-07-22 5:14pm
v8
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2 years ago
2022-07-22 5:14pm
v7
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2 years ago
2022-07-22 5:08pm
v6
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2 years ago
2022-07-22 4:35pm
v5
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2 years ago
2022-07-22 4:11pm
v4
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2 years ago
2022-07-22 3:48pm
v3
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2 years ago
2022-07-21 2:38pm
v1
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2 years ago
v11

2022-07-22 8:04pm

Generated on Jul 22, 2022
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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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1598 Total Images

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Dataset Split

Train Set 87%
1395Images
Valid Set 8%
134Images
Test Set 4%
69Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -10% and +10%
Blur: Up to 3px
Cutout: 5 boxes with 10% size each

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