The object detection algorithm is the YOLOX-S model from the YOLOX repository, which is transfer learned on the LOCO dataset. The final version is optimized with Intel OpenVINO and implemented ...

This repository is a comprehensive open-source project that demonstrates the integration of object detection and tracking using the YOLOv8 object detection algorithm and Streamlit, a popular Python ...

Now that we have a basic understanding of what real time object detection models are, and what is the YOLO algorithm, it’s time to discuss the YOLOv7 algorithm. Optimizing the Training Process The ...

Object detection is one of the basic task of autonomous vehicles. Object detection of high accuracy and fast detection speed are conducive to improve the safety of autonomous vehicles. In view of the ...

With the acceleration of urbanization, the demand for inspection robots is steadily increasing. In complex environments such as urban underground utility tunnels, inspection robots are required to ...

The team at Cap-able said it tested its designs using YOLO, an algorithm for real-time object detection. The team tested the designs using YOLO. Cap-able ...