Evidence map›Paper›PMID 36236699›Full record

ArticleSensors (Basel, Switzerland)2022

SealID: Saimaa Ringed Seal Re-Identification Dataset.

Ekaterina Nepovinnykh, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ekaterina NepovinnykhComputer Vision and Pattern Recognition Laboratory (CVPRL), Department of Computational Engineering, Lappeenranta-Lahti University of Technology, 53850 Lappeenranta, Finland.ORCID 0000-0002-5045-5041
Tuomas EerolaComputer Vision and Pattern Recognition Laboratory (CVPRL), Department of Computational Engineering, Lappeenranta-Lahti University of Technology, 53850 Lappeenranta, Finland.ORCID 0000-0003-1352-0999
Vincent BiardDepartment of Environmental and Biological Sciences, University of Eastern Finland, 80101 Joensuu, Finland.ORCID 0000-0003-1885-0946
Piia MutkaDepartment of Environmental and Biological Sciences, University of Eastern Finland, 80101 Joensuu, Finland.
Marja NiemiDepartment of Environmental and Biological Sciences, University of Eastern Finland, 80101 Joensuu, Finland.ORCID 0000-0002-1516-8346
Mervi KunnasrantaDepartment of Environmental and Biological Sciences, University of Eastern Finland, 80101 Joensuu, Finland.ORCID 0000-0003-3612-8842
Heikki KälviäinenComputer Vision and Pattern Recognition Laboratory (CVPRL), Department of Computational Engineering, Lappeenranta-Lahti University of Technology, 53850 Lappeenranta, Finland.ORCID 0000-0002-0790-6847

Funding

European Union, the Russian Federation and the Republic of Finland via The Southeast Finland--Russia CBC 2014-2020 programme Project CoExist (Project ID: KS1549)
6 · The paper itself

Abstract

Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. The massive data volumes call for automatic methods to solve various tasks related to population monitoring, such as the re-identification of individual animals. The Saimaa ringed seal (

Indexed as

Seals, EarlessAnimalsEndangered SpeciesFinlandFresh Wateranimal biometricscomputer visionimage processingre-identificationre-identification datasetringed seals

Identifiers

PMID36236699
PMCPMC9570853

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.