Dataset Versions

Versions
2023-12-25 3:44pm
v25
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a year ago
2023-12-25 12:26pm
v24
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a year ago
2023-12-25 12:26pm
v23
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a year ago
2023-12-22 4:18pm
v22
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a year ago
2023-12-22 4:18pm
v21
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a year ago
2023-12-22 4:03pm
v20
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a year ago
2023-12-21 2:56pm
v19
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a year ago
2023-12-21 9:38am
v16
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a year ago
2023-12-19 12:01pm
v15
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a year ago
2023-12-19 10:36am
v14
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a year ago
2023-12-12 1:06pm
v13
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a year ago
2023-12-12 1:03pm
v12
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a year ago
2023-12-12 12:45pm
v11
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a year ago
2023-12-12 10:34am
v10
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a year ago
2023-12-12 10:06am
v9
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a year ago
2023-12-11 4:36pm
v8
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a year ago
2023-12-11 4:35pm
v7
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a year ago
2023-12-11 9:33am
v6
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a year ago
2023-12-09 1:07pm
v5
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a year ago
2023-12-08 7:13pm
v4
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a year ago
2023-12-08 7:12pm
v3
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a year ago
2023-12-08 5:55pm
v2
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a year ago
2023-12-08 5:55pm
v1
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a year ago
v22

2023-12-22 4:18pm

Generated on Dec 22, 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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58 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 91%
53Images
Valid Set 7%
4Images
Test Set 2%
1Images

Preprocessing

No preprocessing steps were applied.

Augmentations

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

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