Dataset Versions

Versions
2024-09-17 5:41am
v22
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3 months ago
2024-09-17 3:30am
v21
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3 months ago
2024-09-09 2:01am
v20
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4 months ago
2024-09-07 5:35am
v19
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4 months ago
2024-09-05 8:05am
v18
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4 months ago
2024-09-05 7:22am
v17
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4 months ago
2024-09-05 7:05am
v16
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4 months ago
2024-09-05 5:07am
v15
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4 months ago
2024-09-05 4:59am
v14
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4 months ago
2024-09-04 3:00am
v13
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4 months ago
2024-09-04 2:54am
v12
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4 months ago
2024-09-04 2:49am
v11
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4 months ago
2024-09-04 2:12am
v10
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4 months ago
2024-08-29 7:25am
v9
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4 months ago
2024-08-29 2:08am
v8
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4 months ago
2024-08-28 6:46am
v7
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4 months ago
2024-08-28 4:16am
v6
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4 months ago
2024-08-28 4:10am
v5
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4 months ago
2024-08-28 4:04am
v4
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4 months ago
2024-08-28 2:14am
v3
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4 months ago
2024-08-27 10:43am
v2
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4 months ago
2024-08-27 10:42am
v1
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4 months ago
v2

2024-08-27 10:43am

Generated on Aug 27, 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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1236 Total Images

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Dataset Split

Train Set 96%
1188Images
Valid Set 4%
48Images
Test Set %
0Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Blur: Up to 1.5px
Noise: Up to 4% of pixels

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