Dataset Versions

Versions
2024-11-28 7:57am
v49
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3 days ago
2024-11-25 3:15am
v48
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6 days ago
2024-11-24 4:47am
v47
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7 days ago
2024-11-24 4:47am
v46
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7 days ago
2024-11-23 8:33pm
v45
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7 days ago
2024-11-23 6:34am
v44
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8 days ago
2024-11-22 3:40am
v43
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9 days ago
2024-11-22 3:39am
v42
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9 days ago
2024-11-22 3:11am
v41
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9 days ago
2024-11-21 10:54am
v40
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10 days ago
2024-11-21 8:02am
v39
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10 days ago
2024-11-21 2:51am
v38
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10 days ago
2024-11-20 2:47pm
v37
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11 days ago
2024-11-20 2:24pm
v36
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11 days ago
2024-11-20 11:25am
v35
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11 days ago
2024-11-20 11:08am
v34
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11 days ago
2024-11-20 10:54am
v33
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11 days ago
2024-11-20 10:17am
v32
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11 days ago
2024-11-20 8:55am
v31
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11 days ago
2024-11-20 8:33am
v30
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11 days ago
2024-11-20 7:41am
v29
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11 days ago
2024-11-20 6:56am
v28
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11 days ago
2024-11-20 6:20am
v27
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11 days ago
2024-11-20 6:07am
v26
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11 days ago
2024-11-20 6:07am
v25
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11 days ago
2024-11-20 6:07am
v24
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11 days ago
2024-11-20 6:07am
v23
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11 days ago
2024-11-20 6:07am
v22
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11 days ago
2024-11-20 6:07am
v21
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11 days ago
2024-11-20 6:07am
v20
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11 days ago
2024-11-20 6:07am
v19
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11 days ago
2024-11-20 6:07am
v18
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11 days ago
2024-11-20 6:07am
v17
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11 days ago
2024-11-20 6:07am
v16
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11 days ago
2024-11-20 6:07am
v15
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11 days ago
2024-11-20 5:57am
v14
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11 days ago
2024-11-17 9:54pm
v13
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13 days ago
2024-11-13 9:14pm
v12
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17 days ago
2024-11-13 9:41am
v11
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18 days ago
2024-11-13 9:35am
v10
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18 days ago
2024-11-11 10:27pm
v9
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19 days ago
2024-11-11 6:42pm
v8
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19 days ago
2024-11-10 7:12pm
v7
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20 days ago
2024-11-04 5:44pm
v6
·
a month ago
2024-11-04 3:58pm
v5
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a month ago
2024-11-04 11:37am
v4
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a month ago
2024-10-27 3:15pm
v3
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a month ago
2024-06-12 10:19pm
v2
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6 months ago
2024-06-12 4:20pm
v1
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6 months ago
v49

2024-11-28 7:57am

Generated on Nov 28, 2024

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 84%
2148Images
Valid Set 8%
200Images
Test Set 8%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°

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