Dataset Versions

Versions
2023-09-16 9:14pm
v26
·
a year ago
2023-09-16 8:14pm
v25
·
a year ago
2023-09-07 1:02am
v24
·
a year ago
2023-09-06 5:23pm
v23
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a year ago
2023-09-06 5:04pm
v22
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a year ago
2023-09-06 2:10pm
v21
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a year ago
2023-09-06 11:42am
v20
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a year ago
2023-09-06 1:38am
v19
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a year ago
2023-09-06 1:16am
v18
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a year ago
2023-09-06 1:07am
v17
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a year ago
2023-09-06 12:51am
v16
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a year ago
2023-09-06 12:22am
v15
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a year ago
2023-09-06 12:22am
v14
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a year ago
2023-09-06 12:20am
v13
·
a year ago
2023-09-05 11:54pm
v12
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a year ago
2023-09-05 12:47am
v11
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a year ago
2023-09-05 12:35am
v10
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a year ago
2023-09-05 12:18am
v9
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a year ago
2023-09-05 12:00am
v8
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a year ago
2023-09-04 11:38pm
v7
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a year ago
2023-09-04 1:18am
v6
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a year ago
2023-09-04 12:33am
v5
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a year ago
2023-09-04 12:19am
v4
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a year ago
2023-09-03 11:03pm
v3
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a year ago
2023-09-03 10:07pm
v2
·
a year ago
2023-09-03 9:49pm
v1
·
a year ago
v26

2023-09-16 9:14pm

Generated on Sep 16, 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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480 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 100%
480Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°

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