Dataset Versions

Versions
2024-04-22 8:50pm
v23
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7 months ago
2024-04-22 8:49pm
v22
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7 months ago
2024-04-22 8:48pm
v21
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7 months ago
2024-04-22 8:34pm
v20
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7 months ago
2024-04-22 2:53pm
v19
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7 months ago
2024-04-22 2:52pm
v18
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7 months ago
2024-04-22 2:42pm
v17
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7 months ago
2024-04-22 9:33am
v15
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7 months ago
2024-04-22 9:10am
v14
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7 months ago
2024-04-21 11:52pm
v13
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7 months ago
2024-04-21 11:50pm
v12
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7 months ago
2024-04-21 9:48am
v11
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7 months ago
2024-04-20 5:25pm
v10
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7 months ago
2024-04-20 5:25pm
v9
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7 months ago
2024-04-20 5:20pm
v8
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7 months ago
2024-04-20 5:19pm
v7
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7 months ago
2024-04-19 9:20pm
v6
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7 months ago
2024-04-19 6:09pm
v5
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7 months ago
2024-04-19 5:38pm
v4
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7 months ago
2024-04-19 5:10pm
v3
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7 months ago
2024-04-19 4:41pm
v2
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7 months ago
2024-04-19 4:27pm
v1
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7 months ago
v1

2024-04-19 4:27pm

Generated on Apr 19, 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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66 Total Images

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Dataset Split

Train Set 100%
66Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°

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