Pushing the boundaries of lightweight object detection models
Traditionally, the performance of AI models for “real-time” object detection is directly linked to the computing power and storage capacity of the hardware used to run the model. This factor heavily limits the application possibilities of Neural Networks on the edge of the IoT cloud. At the same time, embedding a Neural Network into an …