A software for automatic identification of oyster species ...

• 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

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 ...