Evidence map›Paper›PMID 42376284›Full record

ArticleData in brief2026

Enhancing wildlife monitoring with computer vision: A dataset for automated detection of barbary macaques.

Kenza Qitout, Clémence Lochin, Xavier Desquesnes, Audrey Maille, Bruno Emile

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kenza QitoutLaboratoire PRISME, Université d'Orléans, INSA CVL, Orléans 45072, France.
Clémence LochinLaboratoire Eco-anthropologie, UMR 7206, MNHN, CNRS, Université Paris Cité, Paris 75016, France.
Xavier DesquesnesLaboratoire PRISME, Université d'Orléans, INSA CVL, Orléans 45072, France.
Audrey MailleLaboratoire Eco-anthropologie, UMR 7206, MNHN, CNRS, Université Paris Cité, Paris 75016, France.
Bruno EmileLaboratoire PRISME, Université d'Orléans, INSA CVL, Orléans 45072, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated monitoring of animal populations is becoming increasingly important in biodiversity research and wildlife conservation. However, detecting and identifying animals in complex and diverse environments remains a significant challenge. In this study, we introduce

Indexed as

Artificial intelligenceDeep learningInstance segmentationMultiple object detectionNon-human primates

Identifiers

PMID42376284
PMCPMC13311211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.