Dataset Versions

Versions
2022-07-31 11:54am
v22
·
2 years ago
2022-07-31 11:39am
v21
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2 years ago
2022-07-28 5:39pm
v20
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2 years ago
2022-07-28 5:31pm
v19
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2 years ago
2022-07-28 5:30pm
v18
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2 years ago
2022-07-28 5:29pm
v17
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2 years ago
2022-07-28 5:28pm
v16
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2 years ago
2022-07-28 5:26pm
v15
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2 years ago
2022-07-26 1:51am
v14
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2 years ago
2022-07-26 1:46am
v13
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2 years ago
2022-07-26 1:44am
v12
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2 years ago
2022-07-26 1:42am
v11
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2 years ago
2022-07-18 9:37pm
v10
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2 years ago
2022-07-18 9:32pm
v9
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2 years ago
2022-07-18 9:03pm
v8
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2 years ago
2022-07-12 10:10am
v7
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2 years ago
2022-07-09 8:17pm
v6
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2 years ago
2022-06-23 10:17am
v5
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2 years ago
2022-06-23 10:15am
v4
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2 years ago
2022-06-23 10:13am
v3
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2 years ago
2022-06-21 8:42pm
v2
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2 years ago
2022-06-21 8:37pm
v1
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2 years ago
v17

2022-07-28 5:29pm

Generated on Jul 28, 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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2688 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%
2688Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Modify Classes: 43 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -26% and +26%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels

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