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