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The practical implementation of object detectors (ODs) on small-scale hardware platforms faces significant computational and hardware barriers. The core of these platforms is primarily microcontrollers (MCUs), and deploying optimized OD models on such devices requires the application of specialized approaches, such as TinyML (Tiny Machine Learning).The objective of this work is to analyse availabl
