Dataset Versions

Versions
2024-04-27 5:30pm
v33
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8 months ago
2024-04-27 3:06pm
v32
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8 months ago
2024-04-27 11:40am
v31
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8 months ago
2024-04-26 2:50pm
v30
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8 months ago
2024-04-17 8:39am
v29
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8 months ago
2024-04-17 8:26am
v28
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8 months ago
2024-04-14 9:29pm
v27
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8 months ago
2024-04-14 1:23pm
v24
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8 months ago
2024-04-10 9:42am
v23
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9 months ago
2024-04-10 9:34am
v22
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9 months ago
2024-04-08 12:41pm
v21
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9 months ago
2024-04-07 2:17pm
v20
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9 months ago
2024-04-07 10:31am
v18
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9 months ago
2024-03-31 8:07pm
v17
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9 months ago
2024-03-31 7:57pm
v16
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9 months ago
2024-03-23 10:16pm
v15
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9 months ago
2024-03-23 10:09pm
v14
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9 months ago
2024-03-19 9:55pm
v13
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9 months ago
2024-03-16 11:51am
v12
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9 months ago
2024-03-12 10:15pm
v11
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10 months ago
2024-03-12 10:31am
v10
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10 months ago
2024-03-12 10:30am
v9
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10 months ago
2024-03-10 8:53pm
v8
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10 months ago
2024-03-10 7:18pm
v7
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10 months ago
2024-03-08 2:11pm
v6
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10 months ago
2024-03-08 2:10pm
v5
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10 months ago
2024-03-07 4:59pm
v4
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10 months ago
2024-03-03 7:08pm
v2
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10 months ago
2024-02-25 9:42pm
v1
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10 months ago
v10

2024-03-12 10:31am

Generated on Mar 12, 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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245 Total Images

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Dataset Split

Train Set 76%
185Images
Valid Set 14%
35Images
Test Set 10%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°

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