Enhanced LeNet-5 for MNIST digit classification with minor modifications like dropout for better generalization and OneCycleLR training. High-accuracy baseline for handwritten digit recognition and ...

Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...

A demo project which uses openvino for person detection, re-identification and age gender classification and also exports detected person as images and predicted data as csv files.

Abstract: Speech topic classification aims to automatically identify and categorize the topics of audio content, with widespread applications in recommendation systems, speech content indexing, and ...