Dataset Versions

Versions
2023-07-28 6:43pm
v92
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a year ago
2023-07-23 4:24pm
v91
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a year ago
2023-07-23 3:54am
v90
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a year ago
2023-07-23 3:54am
v89
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a year ago
2023-07-23 3:37am
v88
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a year ago
2023-07-23 3:37am
v87
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a year ago
2023-07-23 3:21am
v86
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a year ago
2023-07-23 2:54am
v85
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a year ago
2023-07-23 2:16am
v84
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a year ago
2023-07-23 2:16am
v83
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a year ago
2023-07-23 2:03am
v82
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a year ago
2023-07-23 1:36am
v81
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a year ago
2023-07-23 12:51am
v80
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a year ago
2023-07-23 12:07am
v79
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a year ago
2023-07-23 12:07am
v78
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a year ago
2023-07-22 11:30pm
v77
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a year ago
2023-07-22 10:51pm
v76
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a year ago
2023-07-22 10:11pm
v75
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a year ago
2023-07-22 9:45pm
v74
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a year ago
2023-07-22 8:57pm
v73
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a year ago
2023-07-22 8:57pm
v72
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a year ago
2023-07-22 8:22pm
v71
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a year ago
2023-07-22 7:50pm
v70
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a year ago
2023-07-22 7:38pm
v69
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a year ago
2023-07-22 7:13pm
v68
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a year ago
2023-07-14 6:14pm
v67
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a year ago
2023-07-14 5:23pm
v66
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a year ago
v88

2023-07-23 3:37am

Generated on Jul 22, 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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3900 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 88%
3414Images
Valid Set 8%
327Images
Test Set 4%
159Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 56 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Brightness: Between -9% and +9%
Bounding Box: Blur: Up to 2.5px

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