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DIGI4ECO Underwater Fish Tracking Dataset

Identification

Clé publique

radar:r-36658372fa3b7a6c1d8e8d82875b0278

Auteurs

Sandra González-Villà · Dylan Burns Font · Jacopo Aguzzi · Nixon Bahamón · Baños Pol · Gerard Batet · Alan Berry · Ricard Campos · Matias Carandell Widmer · Albert Català Gonell · Damianos Chatzievangelou · Morane Clavel‐Henry · Fabio Conversano · Andrew Conway · Roberto Danovaro · Joaquín del Río Fernández · Antonio Dell’Anno · Marco Francescangeli · Silvia Gallegati · Paul Gaughan · Alessandra Kostantchouk · Marco Lo Martire · Ander M. de Lecea · Enoc Martínez Padró · Prat Oriol · Juliana Quevedo · Josep Quintana · David Sarrià Gandul · Damian Smith · Daniel Mihai Toma

Année déclarée

2026

Langue déclarée

en

Type source

dataset

Première détection

2026-11-14T02:45:42.536491+00:00

Dernière observation des métadonnées

2026-11-14T02:45:42.536491+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

Consejo Superior de Investigaciones Científicas · Institut de Ciències del Mar · Universitat Politècnica de Catalunya · Marine Institute · GEOMAR Helmholtz Centre for Ocean Research Kiel · Stazione Zoologica Anton Dohrn · Marche Polytechnic University

Pays d’affiliation déclarés

DE · ES · IE · IT

Résumé documentaire — langue originale

Description This dataset contains manual multi-object tracking (MOT) annotations for four underwater video sequences acquired at three marine observatory sites within the DIGI4ECO Horizon Europe project (Grant Agreement No. 101112883). The dataset was produced to support the development and evaluation of automatic fish tracking algorithms for fixed and mobile underwater monitoring platforms in temperate and coastal marine environments. All annotations were produced manually using the CVAT annotation platform and exported in CVAT XML format. Each annotation file follows the standard CVAT 1.1 schema and includes, for each tracked individual: bounding box coordinates (xtl, ytl, xbr, ybr) in pixel space, a per-frame occlusion flag, and an outside flag indicating when the individual is not visible in the frame. All individuals are annotated under the single class Fish, as species-level identification from bounding box annotations alone is not reliable in these sequences. Dataset contents The dataset comprises four annotated video sequences: Ancona (Adriatic Sea, Italy). One sequence of 1,200 frames acquired from an Adriatic Sea underwater video survey at 1920×1080 pixels. The sequence contains 86 individually tracked fish in a high-density school scenario with a 17.0% occlusion rate and near-constant bounding box overlaps (93% of frames), representative of the conditions expected at the Ancona DIGI4ECO demo site. OBSEA (Mediterranean Sea, Spain). One sequence of 150 frames acquired by the OBSEA seafloor cabled observatory at 20 m depth, 4 km off the coast of Vilanova i la Geltrú, Barcelona, at a resolution of 1912×1080 pixels. The sequence contains 12 individually tracked fish under moderate-density, low-occlusion conditions typical of a Mediterranean artificial reef community. SmartBay Dataset 1 (Galway Bay, Ireland). One sequence of 2,400 frames acquired by the ANERIS-EMUAS1 camera at the SmartBay Observatory at 1920×1080 pixels. The sequence contains 92 individually tracked fish and presents the most challenging tracking conditions of the four sequences: poor visual contrast between fish and the sandy substrate due to light reflection and camera colour response, indistinct fish contours, erratic movement, and near-universal bounding box overlaps (92% of frames). Four tracks include re-entry events, where a fish temporarily becomes indistinguishable from the background and reappears. SmartBay Dataset 2 (Galway Bay, Ireland). One sequence of 2,101 frames acquired by SmartBayCam1 at the SmartBay Observatory at 1920×1080 pixels. The sequence contains 301 individually tracked fish in an open-water schooling scenario with high fish density (average 26.2 fish per frame) and good visibility, providing a complementary high-density benchmark with dynamic schooling patterns and frequent entry/exit events. Summary statistics Sequence Frames Tracks Avg fish/frame Occlusion rate Frames with sig. overlap Ancona 1,200 86 22.5 17.0% 93% OBSEA 150 12 9.2 2.8% 25% SmartBay DS1 2,400 92 17.8 7.0% 92% SmartBay DS2 2,101 301 26.2 7.7% 88% Total 5,851 491 File organisation DIGI4ECO_tracking_dataset/├── README.md├── Ancona/ │ ├── video.mp4 │ └── annotations.xml ├── OBSEA/ │ ├── video.mp4 │ └── annotations.xml ├── SmartBay1/ │ ├── video.mp4 │ └── annotations.xml ├── SmartBay2/ | ├── video.mp4 | └── annotations.xml└── figures/ ├── Ancona.png ├── OBSEA.png ├── SmartBay1.png └── SmartBay2.png Annotation format Annotations are provided in CVAT XML format (version 1.1), compatible with the CVAT annotation platform (https://github.com/opencv/cvat). Each XML file contains a block with task metadata and label definitions, followed by a series of elements. Each track has a unique integer ID and contains one <box> element per frame, with pixel-space bounding box coordinates, an outside flag (1 = individual not visible in frame), and an occluded flag (1 = individual partially or fully hidden). Tracks are defined over contiguous frame ranges and include outside boxes at the end of the track to indicate its termination. Related resources DIGI4ECO project: https://digi4eco.eu CVAT annotation tool: https://github.com/opencv/cvat OBSEA ERDDAP server: https://data.obsea.es/erddap/index.html SmartBay ERDDAP server: https://erddap.marine.ie/erddap/index.html

Identifiants

OPENALEX

https://openalex.org/W7203674059

DOI

10.5281/zenodo.20701224

Repères documentaires

Famille documentaire

dataset

Types déclarés par les sources

dataset

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Sources

OpenAlex · Document 1

• Document · https://doi.org/10.5281/zenodo.20701224

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.