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PASS

PASS

active ARFF CC BY Visibility: public Uploaded 15-05-2023 by Karen
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PASS is a large-scale image dataset that does not include any humans and which can be used for high-quality pretraining while significantly reducing privacy concerns. Upload by OpenML team.

7 features

unickname (target)string94137 unique values
0 missing
index (row identifier)numeric1439588 unique values
0 missing
datetakenstring1411785 unique values
42 missing
licensenamestring1 unique values
0 missing
hashstring1439588 unique values
0 missing
latitudenumeric302333 unique values
887724 missing
longitudenumeric304777 unique values
887724 missing
urlstring1439588 unique values
0 missing

19 properties

1439588
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
94137
Number of distinct values of the target attribute (if it is nominal).
1775490
Number of missing values in the dataset.
887733
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
1
Average class difference between consecutive instances.
28.57
Percentage of numeric attributes.
17.62
Percentage of missing values.
61.67
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
1
Number of instances belonging to the least frequent class.
0
Percentage of instances belonging to the least frequent class.
80
Number of instances belonging to the most frequent class.
0.01
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

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