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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorTorres Batista, Nelliud D.
dc.contributor.authorDel Valle Maldonado, Jaileen
dc.date.accessioned2022-07-05T19:02:57Z
dc.date.available2022-07-05T19:02:57Z
dc.date.issued2022
dc.identifier.citationDel Valle Maldonado, J. (2022). Image Object Recognition Using Apache Hadoop and Python [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1619
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThe amount of data generated by people each day on social media platforms is increasing at an alarming rate. Studies performed show that approximately 1.5 billion images are uploaded to the internet each day. Applications that can use and analyze this data are not available to all users due to limitations in processing power or storage space required for the analysis of these large datasets. Apache Hadoop is an open-source framework that allows distributed processing and fault tolerance of Big Data with the use of commodity hardware using Hadoop Distributed File System(HDFS)and MapReduce. Using HDFS data is stored in a distributed manner across different machines (data notes). The use of the MapReduce framework parallelized computing is available and manageable to be able to mine and analyze the image data available created by users. The focus of this article will be the analysis of image data in large datasets to create feature vectors using the k-means algorithm to group together images that contain similar objects inside them using Apache Hadoop, Map Reduce, Apache Spark, Computer Vision, and the Python programming language. Key Terms⎯K-Means Clustering, Map Reduce, Sequence File, Scale Invariant Feature Transform (SIFT)en_US
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Sciences;
dc.relation.ispartofseriesSpring-2022;
dc.relation.haspartSan Juanen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Researchen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Postersen_US
dc.subject.lcshApache Hadoop
dc.subject.lcshBig data
dc.subject.lcshData mining
dc.subject.lcshElectronic data processing
dc.subject.lcshPython (Computer program language)
dc.titleImage Object Recognition Using Apache Hadoop and Pythonen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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