Dataset Versions

Versions
2023-09-28 1:00am
v41
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a year ago
2023-09-28 12:53am
v40
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a year ago
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v39
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a year ago
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v38
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v37
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v36
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2023-09-28 12:48am
v35
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v34
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a year ago
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v33
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v32
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v31
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v30
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a year ago
2023-09-28 12:47am
v29
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v28
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v27
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v26
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2023-09-28 12:43am
v25
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v24
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v23
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a year ago
2023-09-28 12:42am
v22
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v21
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a year ago
2023-09-28 12:38am
v20
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v19
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v18
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v17
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a year ago
2023-09-28 12:37am
v16
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v15
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v14
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v13
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v12
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v11
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v10
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a year ago
2023-09-28 12:36am
v9
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v8
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v7
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a year ago
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v6
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a year ago
2023-09-28 12:35am
v5
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v4
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a year ago
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v3
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a year ago
2023-09-28 12:35am
v2
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a year ago
2023-09-28 12:33am
v1
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a year ago
v33

2023-09-28 12:48am

Generated on Sep 27, 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 88%
210Images
Valid Set 13%
30Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Blur: Up to 0.75px

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