Dataset Versions

Versions
2024-11-05 8:36am
v49
·
16 days ago
2024-11-05 6:57am
v48
·
17 days ago
2024-10-30 9:55am
v46
·
22 days ago
2024-10-30 8:25am
v45
·
22 days ago
2024-10-29 6:28am
v44
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24 days ago
2024-10-28 9:46am
v43
·
24 days ago
2024-10-25 7:34am
v42
·
a month ago
2024-10-25 6:13am
v41
·
a month ago
2024-10-24 10:41am
v40
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a month ago
2024-10-24 6:23am
v39
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a month ago
2024-10-22 8:34am
v37
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a month ago
2024-10-21 9:13am
v36
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a month ago
2024-10-18 1:06am
v35
·
a month ago
2024-10-17 12:43pm
v34
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a month ago
2024-10-17 10:12am
v33
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a month ago
2024-10-17 9:27am
v32
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a month ago
2024-10-17 9:12am
v31
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a month ago
2024-10-17 8:10am
v30
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a month ago
2024-10-17 6:22am
v29
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a month ago
2024-10-17 2:53am
v28
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a month ago
2024-10-16 8:45am
v27
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a month ago
2024-10-16 8:42am
v26
·
a month ago
2024-10-14 2:47am
v25
·
a month ago
2024-10-08 7:21am
v24
·
a month ago
2024-10-08 6:00am
v23
·
a month ago
2024-09-26 2:55am
v22
·
2 months ago
2024-09-25 9:52am
v21
·
2 months ago
2024-09-24 8:38am
v20
·
2 months ago
2024-09-24 1:51am
v19
·
2 months ago
2024-09-23 9:30am
v18
·
2 months ago
2024-09-04 8:51am
v17
·
3 months ago
2024-07-29 12:27pm
v16
·
4 months ago
2024-07-29 8:43am
v15
·
4 months ago
2024-07-23 6:39am
v14
·
4 months ago
2024-06-17 5:34am
v13
·
5 months ago
2024-05-15 1:19pm
v12
·
6 months ago
2024-05-13 4:28pm
v11
·
6 months ago
2024-03-18 10:45am
v10
·
8 months ago
2023-12-22 11:41am
v9
·
a year ago
2023-12-18 5:35pm
v8
·
a year ago
2023-11-16 1:16pm
v7
·
a year ago
2023-10-08 6:17pm
v6
·
a year ago
2023-09-27 11:21am
v5
·
a year ago
2023-09-26 5:17pm
v4
·
a year ago
2023-09-26 10:07am
v3
·
a year ago
2023-09-26 9:39am
v2
·
a year ago
v49

2024-11-05 8:36am

Generated on Nov 5, 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
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Dataset Split

Train Set 78%
523Images
Valid Set 16%
107Images
Test Set 6%
39Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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