{"status":"OK","data":{"id":14165,"identifier":"MWE8S8","persistentUrl":"https://doi.org/10.34894/MWE8S8","protocol":"doi","authority":"10.34894","separator":"/","publisher":"DataverseNL","publicationDate":"2019-03-25","storageIdentifier":"surf://10411/7OGAXY","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9999,"datasetType":"dataset","locks":[],"latestVersion":{"id":1544,"datasetId":14165,"datasetPersistentId":"doi:10.34894/MWE8S8","datasetType":"dataset","storageIdentifier":"surf://10411/7OGAXY","versionNumber":1,"internalVersionNumber":7,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","productionDate":"2015-10","lastUpdateTime":"2019-03-25T16:56:22Z","releaseTime":"2019-03-25T16:56:22Z","createTime":"2019-03-25T16:11:30Z","alternativePersistentId":"hdl:10411/7OGAXY","publicationDate":"2019-03-25","citationDate":"2019-03-25","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9999,"license":{"name":"CC0-1.0","uri":"http://creativecommons.org/publicdomain/zero/1.0","iconUri":"https://licensebuttons.net/p/zero/1.0/88x31.png","rightsIdentifier":"CC0-1.0","rightsIdentifierScheme":"SPDX","schemeUri":"https://spdx.org/licenses/","languageCode":"en"},"fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Wild-Anim Dataset"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Okafor, Emmanuel"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"University of Groningen"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Schomaker, Lambertus"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"University of Groningen"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Wiering, Marco"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"University of Groningen"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Research Data Office"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"University of Groningen"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"The Wild-Anim dataset available from this page consists of 5 classes that contains uniformly distributed images examples of wild animals. \r\nIn total, the dataset contains 5000 images. The images are slightly anamorphic in their representation.  These images were passed as input \r\nto both deep learning and classical computer vision methods for carrying out animal recognition task.   In our experiments,  we considered \r\ntwo subsets each containing  1000 examples (non-repetitive images) from the total image examples. "},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2019"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Computer and Information Science"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Computer vision"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Machine learning"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Deep learning"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Feature extraction"}}]},{"typeName":"topicClassification","multiple":true,"typeClass":"compound","value":[{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Machine learning"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Okafor, E., Pawara, P., Karaaba, F., Surinta, O., Codreanu, V., Schomaker, L., & Wiering, M. (2016, December). Comparative study between deep learning \r\nand bag of visual words for wild-animal recognition. In Computational Intelligence (SSCI), 2016 IEEE Symposium Series on (pp. 1-8). IEEE."},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.1109/SSCI.2016.7850111"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1109/SSCI.2016.7850111"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"In readme.txt file."},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Artificial Intelligence, Bernoulli Institute"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"University of Groningen"},"producerAbbreviation":{"typeName":"producerAbbreviation","multiple":false,"typeClass":"primitive","value":"UG"},"producerURL":{"typeName":"producerURL","multiple":false,"typeClass":"primitive","value":"https://www.rug.nl"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2015-10"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Elsenga, Christina"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2019-03-25"},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Images"]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/MWE8S8"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:3095e9d4-beda-437a-b63a-bedf70187af9"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-5428c669-630f-464e-bff7-83add1ed8d12"}]}},"files":[{"description":"Images and readme.txt","label":"Wild_Anim_Dataset.7z","restricted":false,"version":2,"datasetVersionId":1544,"categories":["Data"],"dataFile":{"id":14166,"persistentId":"","filename":"Wild_Anim_Dataset.7z","contentType":"application/x-7z-compressed","friendlyType":"7Z Archive","filesize":179004286,"description":"Images and readme.txt","categories":["Data"],"storageIdentifier":"surf://store:169b599f8cf-bfbde21a776b","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"d89d27f97387d398e77129169f83cfe33ee13036"},"tabularData":false,"creationDate":"2019-03-25","publicationDate":"2019-03-25","lastUpdateTime":"2019-03-25T16:56:22Z","fileAccessRequest":false}}]}}}