Dataset Versions

Versions
2024-01-07 6:20pm
v36
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2024-01-07 6:20pm
v35
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v34
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v27
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v24
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v23
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v20
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v19
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v18
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2024-01-07 6:13pm
v17
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v16
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v15
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v14
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v13
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v12
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v11
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v10
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v9
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v8
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v7
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v6
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v5
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v4
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v3
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v2
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v1
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a year ago
v36

2024-01-07 6:20pm

Generated on Jan 7, 2024
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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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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3 Total Images

View All Images
Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Exposure: Between -5% and +5%

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