Dataset Versions

Versions
2023-06-04 10:21am
v28
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a year ago
2023-06-04 10:12am
v27
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a year ago
2023-06-04 10:05am
v26
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a year ago
2023-06-04 9:53am
v25
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a year ago
2023-06-04 9:52am
v24
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a year ago
2023-06-04 9:51am
v23
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a year ago
2023-06-04 9:50am
v22
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a year ago
2023-06-04 9:48am
v21
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a year ago
2023-06-04 9:47am
v20
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a year ago
2023-06-04 9:43am
v19
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a year ago
2023-05-31 4:20am
v18
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a year ago
2023-05-28 3:26pm
v17
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a year ago
2023-05-28 3:25pm
v16
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a year ago
2023-05-28 3:23pm
v15
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a year ago
2023-05-25 6:21pm
v14
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a year ago
2023-05-25 4:20pm
v13
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a year ago
2023-05-21 1:27pm
v12
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a year ago
2023-05-21 11:35am
v11
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a year ago
2023-05-19 4:34am
v10
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a year ago
2023-05-19 1:05am
v9
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a year ago
2023-05-19 1:04am
v8
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a year ago
2023-05-19 1:03am
v7
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a year ago
2023-05-19 1:02am
v6
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a year ago
2023-05-19 1:01am
v5
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a year ago
2023-05-19 1:00am
v4
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a year ago
2023-05-19 12:59am
v3
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a year ago
2023-05-19 12:58am
v2
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a year ago
2023-05-19 12:57am
v1
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a year ago
v20

2023-06-04 9:47am

Generated on Jun 4, 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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672 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 71%
480Images
Valid Set 17%
116Images
Test Set 11%
76Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -17% and +17%

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