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Bud University PhD Thesis SummaryMultiDirectional Image Projections with Fixed Resolution for Object Recognition and Matching GBR KertszSupervisors: Dr. Zoltán Mossy Dr. habit. Sandor Sense Doctoral
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Gather labeled training data with a variety of objects for detection.
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Scale up the object detection by deploying the model on larger datasets or in real-time applications.

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Scaling up object detection is the process of increasing the capabilities and accuracy of detecting objects within a given dataset.
Companies and organizations that utilize object detection technology are required to file scaling up object detection.
Scaling up object detection can be filled out by providing detailed information on the technology used, the dataset, and any improvements made to the detection capabilities.
The purpose of scaling up object detection is to enhance the performance and accuracy of object detection technology.
Information such as the technology used, dataset details, and any improvements made to object detection capabilities must be reported on scaling up object detection.
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