Dataset Versions

Versions
2024-09-03 5:43am
v67
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3 months ago
2024-09-03 5:35am
v66
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3 months ago
2024-07-24 3:36am
v65
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4 months ago
2024-06-21 11:41pm
v64
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5 months ago
2024-06-17 1:35am
v63
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5 months ago
2024-05-06 11:56pm
v62
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7 months ago
2024-05-02 9:27am
v61
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7 months ago
2024-04-30 2:46pm
v60
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7 months ago
2024-04-28 10:26pm
v59
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7 months ago
2024-04-27 5:36pm
v58
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7 months ago
2024-04-19 10:21am
v57
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7 months ago
2024-04-19 10:20am
v56
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7 months ago
2024-04-19 10:19am
v55
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7 months ago
2024-04-15 1:27pm
v54
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7 months ago
2024-04-12 8:33am
v53
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7 months ago
2024-04-12 8:28am
v52
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7 months ago
2024-04-09 6:33pm
v51
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8 months ago
2024-04-09 2:43pm
v50
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8 months ago
2024-04-07 12:55am
v49
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8 months ago
2024-04-06 11:54pm
v48
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8 months ago
2024-04-03 11:58pm
v47
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8 months ago
2024-04-03 10:41pm
v46
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8 months ago
2024-03-31 4:31pm
v45
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8 months ago
2024-03-31 4:26pm
v44
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8 months ago
2024-03-23 2:42pm
v43
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8 months ago
2024-03-18 6:51pm
v42
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8 months ago
2024-03-18 5:35pm
v41
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8 months ago
2024-03-15 11:56am
v40
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8 months ago
2024-03-15 8:24am
v39
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8 months ago
2024-03-11 1:45pm
v38
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8 months ago
2024-03-07 1:17pm
v37
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9 months ago
2024-02-26 8:58pm
v36
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9 months ago
2024-02-26 12:42pm
v35
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9 months ago
2024-02-26 11:41am
v34
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9 months ago
2024-02-25 10:31pm
v33
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9 months ago
2024-02-25 3:47pm
v32
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9 months ago
2024-02-25 2:26pm
v31
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9 months ago
2024-02-25 1:40pm
v30
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9 months ago
2024-02-25 1:05pm
v29
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9 months ago
2024-02-25 11:36am
v28
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9 months ago
2024-02-25 10:53am
v27
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9 months ago
2024-02-25 12:08am
v26
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9 months ago
2024-02-24 11:42pm
v25
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9 months ago
2024-02-24 10:44pm
v24
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9 months ago
2024-02-24 9:42pm
v23
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9 months ago
2024-02-24 3:14pm
v22
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9 months ago
v35

2024-02-26 12:42pm

Generated on Feb 26, 2024

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
729Images
Valid Set 8%
70Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°

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