Over the last few years, systems and applications that help visually impaired people navigate their environment have undergone rapid development, but still have room to grow, according to a team of ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

Build an AI swarm drone with Python, Crazyflie 2.1, Whisper voice control, and object detection for manual, autonomous flight ...

This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...

This repository contains a comprehensive, end-to-end tutorial with Python notebooks demonstrating object detection using Azure AutoML for Images. The notebooks guide you through the complete workflow ...

Abstract: Object detection for waste management is limited by the scarcity of large, labeled real-world datasets. To overcome this, we developed a synthetic dataset generation method that enhances ...