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2023-05-27 8:13am
v63
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2 years ago
2023-04-07 9:21am
v61
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2 years ago
2023-04-05 5:03pm
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2 years ago
2023-03-31 7:29pm
v59
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2023-03-31 7:13pm
v57
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2 years ago
2023-03-31 6:42pm
v56
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2 years ago
2023-03-31 9:25am
v54
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2 years ago
2023-03-28 8:51pm
v53
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2 years ago
2023-03-28 6:41am
v52
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2 years ago
2023-03-27 9:30pm
v50
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2 years ago
2023-03-27 3:21pm
v49
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2 years ago
2023-03-24 8:27pm
v48
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2 years ago
2023-03-24 8:06pm
v47
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2 years ago
2023-03-24 7:56pm
v46
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2 years ago
2023-03-20 4:40pm
v45
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2 years ago
2023-03-19 9:56pm
v41
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2 years ago
2023-03-19 9:48pm
v40
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2 years ago
2023-03-19 9:40pm
v39
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2 years ago
2023-03-19 9:29pm
v38
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2 years ago
2023-03-15 8:54am
v36
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2 years ago
2023-03-15 8:51am
v35
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2 years ago
2023-03-14 4:19pm
v34
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2 years ago
2023-03-14 3:57pm
v33
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2 years ago
2023-03-14 3:45pm
v32
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2 years ago
v40

2023-03-19 9:48pm

Generated on Mar 19, 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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1764 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 100%
1764Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Exposure: Between -3% and +3%
Blur: Up to 0.25px
Noise: Up to 3% of pixels

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