Dataset Versions

Versions
2022-08-13 10:53am
v32
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2 years ago
2022-08-13 10:53am
v31
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2022-08-13 10:52am
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2022-08-13 10:50am
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2022-08-13 10:49am
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2 years ago
2022-08-13 10:48am
v26
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v25
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2022-08-13 10:47am
v24
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2022-08-13 10:42am
v23
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2022-08-13 10:42am
v22
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2 years ago
2022-08-13 10:41am
v21
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2 years ago
2022-08-13 10:40am
v20
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2 years ago
2022-08-13 10:39am
v19
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2 years ago
2022-08-13 10:38am
v18
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2 years ago
2022-08-13 10:38am
v17
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2 years ago
2022-08-13 10:36am
v16
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2 years ago
2022-08-13 10:36am
v15
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2 years ago
2022-08-13 10:36am
v14
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2 years ago
2022-08-13 10:35am
v13
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2 years ago
2022-08-13 10:31am
v12
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2 years ago
2022-08-13 10:30am
v11
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2 years ago
2022-08-13 10:29am
v10
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2 years ago
2022-08-13 10:28am
v9
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2 years ago
2022-08-13 10:27am
v8
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2 years ago
2022-08-13 10:26am
v7
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2 years ago
2022-08-13 10:21am
v6
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2 years ago
2022-08-13 10:20am
v5
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2 years ago
2022-08-13 10:17am
v4
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2 years ago
2022-08-11 10:29am
v3
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2 years ago
2022-08-11 10:25am
v1
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2 years ago
v15

2022-08-13 10:36am

Generated on Aug 13, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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363 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 94%
342Images
Valid Set 4%
14Images
Test Set 2%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical

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