Dataset Versions

Versions
2023-07-22 2:07pm
v50
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a year ago
2023-07-22 2:07pm
v49
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a year ago
2023-07-22 2:07pm
v48
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a year ago
2023-07-22 2:06pm
v47
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a year ago
2023-07-22 2:05pm
v46
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a year ago
2023-07-22 2:05pm
v45
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a year ago
2023-07-20 11:52am
v44
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a year ago
2023-07-18 12:18pm
v43
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a year ago
2023-07-18 12:17pm
v42
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a year ago
2023-07-18 12:16pm
v41
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a year ago
2023-07-18 12:15pm
v40
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a year ago
2023-07-18 12:14pm
v39
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a year ago
2023-07-16 5:23pm
v38
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a year ago
2023-07-16 5:23pm
v37
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a year ago
2023-07-16 5:21pm
v36
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a year ago
2023-07-16 5:20pm
v35
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a year ago
2023-07-16 5:19pm
v34
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a year ago
2023-07-16 5:18pm
v33
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a year ago
2023-07-16 5:16pm
v32
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a year ago
2023-07-16 4:06pm
v31
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a year ago
2023-07-15 10:06pm
v30
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a year ago
2023-07-13 11:03pm
v29
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a year ago
2023-07-13 11:02pm
v28
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a year ago
2023-07-13 11:01pm
v27
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a year ago
2023-07-13 12:46pm
v26
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a year ago
2023-07-13 12:35pm
v25
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a year ago
2023-07-13 12:33pm
v24
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a year ago
2023-07-10 10:48am
v23
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a year ago
2023-07-10 10:47am
v22
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a year ago
2023-07-10 10:03am
v21
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a year ago
2023-07-10 10:02am
v20
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a year ago
2023-07-10 10:00am
v19
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a year ago
2023-07-10 9:59am
v18
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a year ago
2023-07-06 7:47pm
v17
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a year ago
2023-07-06 7:45pm
v16
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a year ago
2023-07-06 7:45pm
v15
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a year ago
2023-07-06 7:44pm
v14
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a year ago
2023-07-06 7:44pm
v13
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a year ago
2023-07-06 7:27pm
v12
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a year ago
2023-07-06 7:26pm
v11
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a year ago
2023-07-06 7:25pm
v10
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a year ago
2023-07-06 7:23pm
v9
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a year ago
2023-07-06 7:20pm
v8
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a year ago
2023-07-06 7:18pm
v7
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a year ago
2023-07-06 7:16pm
v6
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a year ago
2023-07-06 7:15pm
v5
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a year ago
2023-07-06 7:13pm
v4
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a year ago
2023-07-06 7:11pm
v3
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a year ago
2023-07-06 7:09pm
v2
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a year ago
2023-07-06 10:30am
v1
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a year ago
v50

2023-07-22 2:07pm

Generated on Jul 22, 2023

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 87%
1209Images
Valid Set 9%
118Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Cutout: 10 boxes with 6% size each
Mosaic: Applied

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