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 ...
Abstract: Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, they face performance degradation in adverse weather.
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 ...
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