Dataset Versions

Versions
2023-02-04 4:44pm
v28
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2 years ago
2023-02-04 3:19pm
v27
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2 years ago
2023-02-04 3:07pm
v26
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2 years ago
2023-02-04 6:36am
v24
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2 years ago
2023-02-04 6:34am
v23
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2 years ago
2023-02-04 6:32am
v22
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2 years ago
2023-02-04 6:31am
v21
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2 years ago
2023-02-04 6:29am
v20
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2 years ago
2023-02-04 6:23am
v16
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2 years ago
2023-02-04 6:20am
v15
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2 years ago
2023-02-04 6:19am
v14
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2 years ago
2023-02-04 6:14am
v13
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2 years ago
2023-02-04 6:11am
v12
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2 years ago
2023-02-03 11:06pm
v10
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2 years ago
2023-02-03 11:05pm
v9
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2 years ago
2023-02-03 11:01pm
v8
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2 years ago
2023-02-03 10:55pm
v7
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2 years ago
2023-02-03 10:52pm
v6
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2 years ago
2023-01-29 1:25pm
v5
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2 years ago
2023-01-29 12:54pm
v4
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2 years ago
2023-01-29 12:32pm
v3
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2 years ago
2023-01-29 12:11pm
v2
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2 years ago
2023-01-29 2:55am
v1
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2 years ago
v14

2023-02-04 6:19am

Generated on Feb 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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379 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 70%
265Images
Valid Set 20%
75Images
Test Set 10%
39Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 1
Crop: 0% Minimum Zoom, 32% Maximum Zoom

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