♻️ TrashDet - Iterative Neural Architecture Search for Efficient Waste Detection
Bringing Trash Detection to TinyML
By Tony Tran
Project Overview: This post introduces TrashDet, a family of efficient object detectors designed specifically for resource-constrained edge devices (TinyML). By employing an Iterative Neural Architecture Search (NAS) framework, we successfully deployed waste detection models on microcontrollers, reducing energy consumption by up to 88% while outperforming existing baselines on the TACO...
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