Evidence map›Paper›PMID 40044705›Full record

ArticleScientific data2025

Manually Annotated Drone Imagery Dataset for Automatic Coastline Delineation.

Kamran Tanwari, Paweł Terefenko, Jakub Śledziowski, Andrzej Giza

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Kamran TanwariInstitute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383, Szczecin, Poland. kamran.tanwari@phd.usz.edu.pl.ORCID http://orcid.org/0000-0002-4811-2613
Paweł TerefenkoInstitute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383, Szczecin, Poland.
Jakub ŚledziowskiInstitute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383, Szczecin, Poland.
Andrzej GizaInstitute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383, Szczecin, Poland.

Funding

Narodowe Centrum Nauki (National Science Centre) 2020/39/B/ST10/01122Narodowe Centrum Nauki (National Science Centre) 2023/49/N/ST10/00347
6 · The paper itself

Abstract

Automatic delineation of coastline in coastal zones is an essential task for various applications including protection of coastal regions, disaster management, and planning. The lack of availability of manually annotated high resolution datasets tailored for AI in coastal research remains a concern. Therefore, we created an open source, UAV captured and high resolution RGB dataset named MADRID (Manually Annotated DRone Imagery Dataset). It was recorded during six-separate UAV fly-over flight paths in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast. The dataset comprises of 3691 high-resolution images and each image is accompanied by manually provided coastline annotations utilizing novel polyline annotation technique for the first time. The data is pre-split into training and test data subsets suitable for semantic segmentation tasks. The output of this study has implications for protection of coastal regions and marine ecosystems, delivering valuable insights into the overall situation in the Southern Baltic Sea. All data is organized and structured to comply with FAIR principles.

Identifiers

PMID40044705
PMCPMC11882989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.