A software for automatic identification of oyster species ...

The files includes all data and final analysis of the work done in CS8 - oysters, task 8.2, CSTP8.2.2_A new software for automatic identification of oyster species. This includes the data management descriptor document (DataSheet_oyster_image_classification.docx), images used (oyster_classification_...

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Bibliographic Details
Main Authors: Wilhelmsson, Jens, Wrange, Anna-Lisa, Strand, Åsa, Johansson, Torbjörn
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Oysters, Flat oyster, Ostrea edulis, Pacific oyster, Magallana gigas, Crassostrea gigas, mashine learning, image analysis
Pacific
Crassostrea gigas
Pacific oyster
Online Access:https://dx.doi.org/10.5281/zenodo.7985389
https://zenodo.org/record/7985389
Description
Summary:The files includes all data and final analysis of the work done in CS8 - oysters, task 8.2, CSTP8.2.2_A new software for automatic identification of oyster species. This includes the data management descriptor document (DataSheet_oyster_image_classification.docx), images used (oyster_classification_images.zip), the code developed (oyster_classification_code_package.zip) and different models evaluated (oyster_classification_models.zip), the genetics data produced (oyster_classification_biometrics and PCR.xlsx) and the project report (C639_ostronklassificering.pdf). The content of the files is described briefely below. The data is used in deliverables D1.2, D1.4, D1.5 and D1.6 in the AquaVitae project. oyster_classification_images.zip The data set contains the images used for training the classification models that are capable of classifying images of oysters as either Ostrea edulis or Magallana gigas. The images are sorted in folders named “train” (training data) and “validation” (validation data) with both ...

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