OLAC Record
oai:lindat.mff.cuni.cz:20.500.12800/1-4645

Metadata
Title:Danish Fungi 2020
Bibliographic Citation:http://hdl.handle.net/20.500.12800/1-4645
Creator:Picek, Lukáš
Šulc, Milan
Matas, Jiří
Jeppesen, Thomas S.
Heilmann-Clausen, Jacob
Læssøe, Thomas
Frøslev, Tobias
Date (W3CDTF):2022-01-18T17:15:28Z
Date Available:2022-01-18T17:15:28Z
Description:Danish Fungi 2020 (DF20) is a fine-grained dataset and benchmark. The dataset, constructed from observations submitted to the Danish Fungal Atlas, is unique in its taxonomy-accurate class labels, small number of errors, highly unbalanced long-tailed class distribution, rich observation metadata, and well-defined class hierarchy. DF20 has zero overlap with ImageNet, allowing unbiased comparison of models fine-tuned from publicly available ImageNet checkpoints. The dataset has 1,604 different classes, with 248,466 training images and 27,608 test images.
Identifier (URI):DF20
DF20-Mini
http://hdl.handle.net/20.500.12800/1-4645
Publisher:IEEE/CVF
Rights:GNU Library or "Lesser" General Public License 3.0 (LGPL-3.0)
http://opensource.org/licenses/LGPL-3.0
Subject:Fungi
image processing
Classification
Fine-grained
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:20.500.12800/1-4645
DateStamp:  2022-01-18
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Picek, Lukáš; Šulc, Milan; Matas, Jiří; Jeppesen, Thomas S.; Heilmann-Clausen, Jacob; Læssøe, Thomas; Frøslev, Tobias. 2022. IEEE/CVF.
Terms: dcmi_Text olac_primary_text


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