Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:annotationType |
each character drawn by 20 different people
|
| gptkbp:availableOn |
https://github.com/brendenlake/omniglot
|
| gptkbp:citation |
gptkb:Lake,_Salakhutdinov,_&_Tenenbaum_(2015),_Science
|
| gptkbp:contains |
1623 character classes
50 alphabets |
| gptkbp:createdBy |
gptkb:Ruslan_Salakhutdinov
gptkb:Brenden_Lake gptkb:Joshua_Tenenbaum |
| gptkbp:format |
PNG images
|
| https://www.w3.org/2000/01/rdf-schema#label |
Omniglot dataset
|
| gptkbp:language |
multiple alphabets
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:releaseYear |
2015
|
| gptkbp:samplesPerClass |
20
|
| gptkbp:size |
105x105 pixels
|
| gptkbp:type |
images
|
| gptkbp:usedFor |
few-shot learning
handwritten character recognition |
| gptkbp:usedIn |
meta-learning research
one-shot learning research |
| gptkbp:bfsParent |
gptkb:Bayesian_Program_Learning
|
| gptkbp:bfsLayer |
7
|