Dataset Versions

Versions
2024-01-20 6:50pm
v28
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10 months ago
2024-01-04 3:16pm
v27
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10 months ago
2024-01-04 3:14pm
v26
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10 months ago
2024-01-02 9:28pm
v25
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10 months ago
2024-01-02 8:34pm
v24
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10 months ago
2024-01-02 7:00pm
v23
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10 months ago
2023-12-26 7:11am
v22
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10 months ago
2023-12-26 5:45am
v21
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10 months ago
2023-12-25 9:41pm
v20
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10 months ago
2023-12-25 9:27pm
v19
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10 months ago
2023-12-25 4:40pm
v18
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10 months ago
2023-12-25 3:04pm
v17
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10 months ago
2023-12-25 10:26am
v16
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10 months ago
2023-12-25 7:58am
v15
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10 months ago
2023-12-21 3:30pm
v14
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a year ago
2023-12-18 7:23am
v13
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a year ago
2023-12-09 10:29pm
v12
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a year ago
2023-12-04 9:01am
v11
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a year ago
2023-12-04 7:50am
v10
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a year ago
2023-12-04 12:34am
v9
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a year ago
2023-12-04 12:31am
v8
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a year ago
2023-12-03 12:44am
v7
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a year ago
2023-12-03 12:32am
v6
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a year ago
2023-12-03 12:28am
v5
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a year ago
2023-11-25 2:31am
v4
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a year ago
2023-11-25 2:30am
v3
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a year ago
2023-11-24 9:28pm
v2
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a year ago
2023-11-22 8:17pm
v1
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a year ago
v9

2023-12-04 12:34am

Generated on Dec 3, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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926 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 88%
816Images
Valid Set 8%
77Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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