Dataset Versions

Versions
2024-06-10 4:50pm
v24
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5 months ago
2024-06-10 4:48pm
v23
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5 months ago
2024-06-10 4:45pm
v22
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5 months ago
2024-06-10 4:42pm
v21
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5 months ago
2024-06-10 4:41pm
v20
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5 months ago
2024-06-10 4:37pm
v19
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5 months ago
2024-06-10 3:06pm
v18
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5 months ago
2024-06-10 3:04pm
v17
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5 months ago
2024-06-10 3:03pm
v16
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5 months ago
2024-06-10 3:01pm
v15
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5 months ago
2024-06-10 2:59pm
v14
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5 months ago
2024-06-10 2:57pm
v13
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5 months ago
2024-06-10 2:56pm
v12
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5 months ago
2024-06-10 2:54pm
v11
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5 months ago
2024-06-10 2:52pm
v10
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5 months ago
2024-06-10 2:49pm
v9
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5 months ago
2024-06-10 2:35pm
v8
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5 months ago
2024-06-10 2:30pm
v7
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5 months ago
2024-06-10 1:18pm
v6
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5 months ago
2024-06-10 1:16pm
v5
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5 months ago
2024-06-10 1:11pm
v4
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5 months ago
2024-06-10 1:09pm
v3
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5 months ago
2024-06-10 1:07pm
v2
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5 months ago
2024-06-10 1:06pm
v1
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5 months ago
v23

2024-06-10 4:48pm

Generated on Jun 10, 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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153 Total Images

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Dataset Split

Train Set 87%
133Images
Valid Set 13%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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