Dataset Versions

Versions
2022-06-23 8:07pm
v28
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2 years ago
2022-06-23 5:58pm
v27
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2 years ago
2022-06-23 5:45pm
v26
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2 years ago
2022-06-21 4:17pm
v25
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2 years ago
2022-06-21 12:25pm
v24
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2 years ago
2022-06-21 11:24am
v23
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2 years ago
2022-06-21 11:02am
v22
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2 years ago
2022-06-21 10:41am
v21
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2 years ago
2022-06-21 10:32am
v20
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2 years ago
2022-06-21 8:20am
v19
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2 years ago
2022-06-21 8:07am
v18
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2 years ago
2022-06-20 11:44pm
v17
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2 years ago
2022-06-20 9:29pm
v16
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2 years ago
2022-06-20 9:02pm
v15
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2 years ago
2022-06-20 9:02pm
v14
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2 years ago
2022-06-20 8:37pm
v13
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2 years ago
2022-06-19 11:26pm
v12
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2 years ago
2022-06-19 9:52pm
v11
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2 years ago
2022-06-19 8:47pm
v10
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2 years ago
2022-06-19 8:35pm
v9
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2 years ago
2022-06-19 5:42pm
v8
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2 years ago
2022-06-19 2:10pm
v7
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2 years ago
2022-06-19 2:08pm
v6
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2 years ago
2022-06-19 1:43pm
v5
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2 years ago
2022-06-18 11:30pm
v4
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2 years ago
2022-06-18 10:39pm
v3
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2 years ago
2022-06-18 9:44pm
v2
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2 years ago
2022-06-18 7:19pm
v1
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2 years ago
v24

2022-06-21 12:25pm

Generated on Jun 21, 2022
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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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1228 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 90%
1103Images
Valid Set 8%
100Images
Test Set 2%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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