Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
A part of a semi-supervised learning pipeline is built to improve the classification of humans and animals in a home security detector. An AI teacher model that automatically labels data, which is then in turn used to improve a light-weight AI student model is created. The AI teacher is trained on existing labelled household camera image data. Approaches with leveraged convolutional neural nets an
