ANOTASI CITRA SAMPAH ORGANIK BERBASIS PYTHON UNTUK RANCANG BANGUN SISTEM DETEKSI OBJEK

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dc.contributor.authorPutri, Dinda Kamia Evkha
dc.contributor.supervisorMinarni, Minarni
dc.date.accessioned2023-04-17T04:26:07Z
dc.date.available2023-04-17T04:26:07Z
dc.date.issued2023-01
dc.description.abstractWaste is still a problem faced in daily. A common problem that is closely related to waste is its inefficient management where organic waste is still found mixed with other types of waste in landfills. The solution that can be done to overcome waste management is to utilize the object detection method. Object detection is a method that can be used to determine the presence of objects in an image. This method can be used in waste sorting to make it more efficient than traditional methods. Image annotation is performed as an initial step in building an object detection system. Image annotation’s function is to provide the necessary information for the system to recognize object features in the image. This research aims to annotating the image of organic waste into two types, namely wet organic waste and dry organic waste. The images are acquired in several position variations so that the annotated images can produce models with various conditions that affect the results of object detection. Image annotation is done by utilizing Python-based software. The results of the image annotations that have been carried out are as many as 100 images of wet organic waste and 100 images of dry organic waste, so that there are a total of 200 images that have been annotated.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Riau, Pekanbaruen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10931
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectOrganic wasteen_US
dc.subjectObject detectionen_US
dc.subjectImage annotationen_US
dc.subjectPythonen_US
dc.titleANOTASI CITRA SAMPAH ORGANIK BERBASIS PYTHON UNTUK RANCANG BANGUN SISTEM DETEKSI OBJEKen_US
dc.typeArticleen_US

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