Dataset Open Access
Hannah Kerner; Danika Wellington; Kiri Wagstaff; Jim Bell; Heni Ben Amor
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.1486196"> <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.1486196</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.1486196"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Hannah Kerner</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Arizona State University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Danika Wellington</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Arizona State University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Kiri Wagstaff</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Jet Propulsion Laboratory</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Jim Bell</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Arizona State University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Heni Ben Amor</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Arizona State University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Mars novelty detection Mastcam labeled dataset</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued> <dcat:keyword>Mars, novelty detection, space, multispectral</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-11-13</dct:issued> <owl:sameAs rdf:resource="https://zenodo.org/record/1486196"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/1486196</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.1486195"/> <owl:versionInfo>1</owl:versionInfo> <dct:description><p>These datasets were used for experiments in the paper:<br> Kerner, H. R., Wellington, D. F., Wagstaff, K. L., Bell III, J. F., Ben Amor, H. Novelty Detection for Multispectral Images with Application to Planetary Exploration.&nbsp;In Proceedings of&nbsp;<em>Innovative Applications in Artificial Intelligence (IAAI/AAAI)</em>, 2019.&nbsp;</p> <p>The file cae_train.zip contains examples used for training the convolutional autoencoder. Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p> <p>The file novel_images.zip contains the 332 tiles labeled as &quot;novel&quot; for containing novel geologic features.&nbsp;Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p> <p>The file cnn_direct.zip contains examples used for fine-tuning pre-trained networks. Images are divided into &quot;vis&quot; (shorter wavelengths) and &quot;nir&quot; (longer wavelengths) and by their label of &quot;typical&quot; vs. &quot;novel.&quot; These three-channel images are stored as .jpg files.</p> <p>All files are named with the following convention: sequence_id_XX*_{R,L}Y_solZZZZ_N.npy where XX* is the sequence ID for the image, {R,L}Y indicates the right (R) or left (L) eye of the camera and the image number in the sequence (Y), and ZZZZ is the four-digit sol (Martian day since the rover began operations) the image was acquired on.</p> <p>All source images are publicly released&nbsp;Experiment Data Records (EDRs) archived by&nbsp;the Planetary Data System (PDS).</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1486196"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL>https://doi.org/10.5281/zenodo.1486196</dcat:accessURL> <dcat:byteSize>2712650119</dcat:byteSize> <dcat:downloadURL>https://zenodo.org/record/1486196/files/cae_train.zip</dcat:downloadURL> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL>https://doi.org/10.5281/zenodo.1486196</dcat:accessURL> <dcat:byteSize>303224327</dcat:byteSize> <dcat:downloadURL>https://zenodo.org/record/1486196/files/cnn_direct.zip</dcat:downloadURL> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL>https://doi.org/10.5281/zenodo.1486196</dcat:accessURL> <dcat:byteSize>9624208</dcat:byteSize> <dcat:downloadURL>https://zenodo.org/record/1486196/files/novel_images.zip</dcat:downloadURL> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
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