Dataset Versions

Versions
2024-11-13 1:45pm
v50
·
5 days ago
2024-11-12 12:48pm
v49
·
6 days ago
2024-11-12 6:35am
v48
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6 days ago
2024-11-12 6:11am
v47
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6 days ago
2024-11-11 6:24am
v46
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7 days ago
2024-11-08 11:24am
v45
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10 days ago
2024-11-08 7:57am
v43
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10 days ago
2024-11-08 6:55am
v42
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10 days ago
2024-11-07 6:33am
v41
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11 days ago
2024-11-06 2:17pm
v40
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12 days ago
2024-11-06 1:09pm
v39
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12 days ago
2024-11-06 10:17am
v38
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12 days ago
2024-11-05 12:47pm
v37
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13 days ago
2024-11-05 10:29am
v36
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13 days ago
2024-11-05 6:33am
v35
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13 days ago
2024-11-04 10:12am
v34
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14 days ago
2024-11-01 12:37pm
v33
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17 days ago
2024-11-01 7:46am
v32
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17 days ago
2024-11-01 7:04am
v31
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17 days ago
2024-10-31 10:23am
v30
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18 days ago
2024-10-31 6:21am
v29
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18 days ago
2024-10-30 7:05am
v28
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19 days ago
2024-10-29 12:46pm
v27
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20 days ago
2024-10-29 8:13am
v26
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20 days ago
2024-10-28 12:50pm
v25
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21 days ago
2024-10-28 12:03pm
v24
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21 days ago
2024-10-28 8:01am
v23
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21 days ago
2024-10-25 12:33pm
v22
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24 days ago
2024-10-25 10:35am
v21
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24 days ago
2024-10-24 10:23am
v20
·
25 days ago
2024-10-23 1:45pm
v19
·
a month ago
2024-10-22 12:21pm
v18
·
a month ago
2024-10-21 10:31am
v17
·
a month ago
2024-10-21 6:26am
v16
·
a month ago
2024-10-18 8:05am
v15
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a month ago
2024-10-17 7:15pm
v14
·
a month ago
2024-10-17 8:22am
v13
·
a month ago
2024-10-17 6:53am
v12
·
a month ago
2024-10-16 7:10am
v11
·
a month ago
2024-10-16 6:30am
v10
·
a month ago
2024-10-15 12:01pm
v9
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a month ago
2024-10-15 7:44am
v8
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a month ago
2024-10-14 11:25am
v7
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a month ago
2024-10-14 10:23am
v6
·
a month ago
2024-10-14 8:33am
v5
·
a month ago
2024-10-10 1:26pm
v4
·
a month ago
2024-10-10 12:22pm
v3
·
a month ago
2024-10-07 2:00pm
v2
·
a month ago
v50

2024-11-13 1:45pm

Generated on Nov 13, 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 86%
804Images
Valid Set 10%
97Images
Test Set 4%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%