TinyML "Wake Vision" dataset

The TinyML "Wake Vision" dataset is a benchmark that contains data used to evaluate the performance of machine learning models in low-power embedded systems, particularly focusing on optimizing input data configurations alongside neural network architectures.

Papers using TinyML "Wake Vision" dataset (1)

Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation2025 · 1 cites