Dataset Versions

Versions
2024-10-13 10:04am
v26
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a month ago
2024-10-13 10:04am
v25
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a month ago
2024-10-13 10:03am
v24
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a month ago
2024-10-13 10:02am
v23
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a month ago
2024-10-13 10:01am
v22
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a month ago
2024-10-13 10:00am
v21
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a month ago
2024-10-13 9:59am
v20
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a month ago
2024-10-13 9:49am
v19
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a month ago
2024-10-13 9:35am
v18
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a month ago
2024-10-13 9:34am
v17
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a month ago
2024-10-13 9:32am
v16
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a month ago
2024-10-13 9:31am
v15
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a month ago
2024-10-13 9:30am
v14
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a month ago
2024-10-13 9:29am
v13
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a month ago
2024-10-13 9:28am
v12
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a month ago
2024-10-13 9:27am
v11
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a month ago
2024-10-13 9:26am
v10
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a month ago
2024-10-13 9:22am
v9
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a month ago
2024-10-13 9:13am
v8
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a month ago
2024-10-13 9:12am
v7
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a month ago
2024-10-13 9:10am
v6
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a month ago
2024-10-13 9:08am
v5
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a month ago
2024-10-13 9:03am
v4
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a month ago
2024-10-13 9:02am
v3
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a month ago
2024-10-13 9:01am
v2
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a month ago
2024-10-13 8:55am
v1
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a month ago
v22

2024-10-13 10:01am

Generated on Oct 13, 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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177 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%
177Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 21x46

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -2° and +2°

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