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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2025
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Underwater images from OBSEA fish detection training dataset (YOLO)

Authors: Baños Castelló, Pol; Prat I Bayarri, Oriol; Martínez Padró, Enoc; Francescangeli, Marco; del Rio, Joaquin;

Underwater images from OBSEA fish detection training dataset (YOLO)

Abstract

This dataset contains labelled underwater pictures taken at the OBSEA underwater observatory. The pictures have already been splited into train, validation and test folders for training a YOLO AI model. This is a substet of this dataset, with the data arranged to simplify the training process. Train a YOLO model with this dataset: Install dependencies with the command "pip3 install ultralytics" Download and unzip the file Edit the data.yaml file to match the "train", "valid" and "test" paths in your filesystem Train the model with the command: "yolo task=detect mode=train model=yolov8n.pt data=data.yaml" Done! In order to optimize the results it is encouraged to tune the hyperparameters to fit your application. Training dataset This dataset contains labeled images for fish detection acquired at OBSEA Underwater Observatory (NW Mediterranean sea). Data preprocessing Several data augmentation techniques have been used to improve the training. The configuration can be found in args.yaml file. Data splitting Data has been randomly splitted in 70% training, 20% validation and 10% test. The splits are already included in the training dataset. Classes, labels and annotations The following classes are included in the dataset: Chromis chromis: WoRMS id 127000 Coris julis: WoRMS id 126963 Dactylopterus volitans: WoRMS id None None Dentex dentex: WoRMS id 273962 Diplodus cervinus: WoRMS id 127051 Diplodus puntazzo: WoRMS id 127052 Diplodus sargus: WoRMS id 127053 Diplodus vulgaris: WoRMS id 127054 Diver: scuba diver, used mainly to prevent divers to be detected as fish Epinephelus costae: WoRMS id 127034 Epinephelus marginatus: WoRMS id 127036 Mullus surmuletus: WoRMS id 126986 Muraena helena: WoRMS id 126303 Myliobatidae: WoRMS id None None Oblada melanura: WoRMS id None None Octopus vulgaris: WoRMS id None None Parablennius gattorugine: WoRMS id 126770 Sarpa salpa: WoRMS id 127064 Sciaena umbra: WoRMS id None None Seriola dumerili: WoRMS id 126816 Serranus cabrilla: WoRMS id 127041 Sparus aurata: WoRMS id 151523 Symphodus mediterraneus: WoRMS id 273569 Data sources Pictures where acquired by several underwater cameras, deployed at OBSEA, model Linovision IPC608. Data quality Images have been manually selected to include as much variety as possible in terms of light and water turbidity. Spatial coverage All pictures where taken at OBSEA underwater observatory, off-the-coast of Vilanova i la Geltrú, Spain. GPS coordinates Longitude Latitude depth 1.75257 41.18212 20 m Contact information For further technical inquiries or additional information about the annotated dataset, please contact enoc.martinez@upc.edu

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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