Foraminifera optical microscope images with labelled species and segmentation labels

Fuente: PANGAEA
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Autores principales: Mitra, Ritayan, Marchitto, Thomas M, Ge, Qian, Zhong, Boxuan, Lobaton, Edgar
Formato: Dataset Open Access
Lenguaje:en
Publicado: PANGAEA 2019
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author Mitra, Ritayan
Marchitto, Thomas M
Ge, Qian
Zhong, Boxuan
Lobaton, Edgar
author_facet Mitra, Ritayan
Marchitto, Thomas M
Ge, Qian
Zhong, Boxuan
Lobaton, Edgar
collection Datos científicos de ciencias marinas y ambientales
contents The dataset contains foraminifera images of over 1,000 forams taken under 16 different lighting directions with an optical microscope. The species and locations of the samples are also specified. It also contains manual segmentation of over 400 samples from the images described above. The segmentation labels are matched by their name. To capture these images, a visual identification system was developed in order to automate the identification of target microorganisms. The visual system incorporates a controllable LED lighting ring used to capture images by illuminating the specimens from several directions, mimicking an important step in the traditional identification process. The dataset was originally used for foraminifera identification and segmentation with machine learning and computer vision techniques. This work is a collaboration between the Dr. Edgar Lobaton (Associate Professor at the North Carolina State University), Dr. Thomas Marchitto (Associate Professor at the University of Colorado Boulder) and Dr. Ritayan Mitra (Assistant Professor at IIT Bombay). Please refer to https://research.ece.ncsu.edu/aros/foram-identification/ for more information about the datasets, related studies and downloading the dataset.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_897873
institution PANGAEA
language en
publishDate 2019
publisher PANGAEA
record_format pangaea
spellingShingle Foraminifera optical microscope images with labelled species and segmentation labels
Mitra, Ritayan
Marchitto, Thomas M
Ge, Qian
Zhong, Boxuan
Lobaton, Edgar
File content; File format; File name; File size; Uniform resource locator/link to file
The dataset contains foraminifera images of over 1,000 forams taken under 16 different lighting directions with an optical microscope. The species and locations of the samples are also specified. It also contains manual segmentation of over 400 samples from the images described above. The segmentation labels are matched by their name. To capture these images, a visual identification system was developed in order to automate the identification of target microorganisms. The visual system incorporates a controllable LED lighting ring used to capture images by illuminating the specimens from several directions, mimicking an important step in the traditional identification process. The dataset was originally used for foraminifera identification and segmentation with machine learning and computer vision techniques. This work is a collaboration between the Dr. Edgar Lobaton (Associate Professor at the North Carolina State University), Dr. Thomas Marchitto (Associate Professor at the University of Colorado Boulder) and Dr. Ritayan Mitra (Assistant Professor at IIT Bombay). Please refer to https://research.ece.ncsu.edu/aros/foram-identification/ for more information about the datasets, related studies and downloading the dataset.
title Foraminifera optical microscope images with labelled species and segmentation labels
topic File content; File format; File name; File size; Uniform resource locator/link to file
url https://doi.org/10.1594/PANGAEA.897873