Dataset Versions

Versions
2024-04-02 1:52pm
v21
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9 months ago
2024-04-02 1:50pm
v20
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9 months ago
2024-04-02 1:47pm
v19
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9 months ago
2024-04-02 1:44pm
v18
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9 months ago
2024-04-02 5:49am
v17
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9 months ago
2024-04-02 5:46am
v16
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9 months ago
2024-04-02 5:42am
v15
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9 months ago
2024-03-31 6:55am
v14
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9 months ago
2024-03-31 6:53am
v13
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9 months ago
2024-03-31 6:24am
v12
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9 months ago
2024-03-31 6:20am
v11
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9 months ago
2024-03-31 6:17am
v10
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9 months ago
2024-03-31 6:15am
v9
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9 months ago
2024-03-31 6:14am
v8
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9 months ago
2024-03-31 6:13am
v7
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9 months ago
2024-03-31 6:12am
v6
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9 months ago
2024-03-31 6:11am
v5
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9 months ago
2024-03-31 6:10am
v4
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9 months ago
2024-03-31 6:08am
v3
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9 months ago
2024-03-30 11:07pm
v2
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9 months ago
2024-03-30 4:50pm
v1
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9 months ago
v4

2024-03-31 6:10am

Generated on Mar 31, 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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1760 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%
1656Images
Valid Set 6%
104Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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