Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

Abstract: This work focuses on the real-time detection of defective products on a production line of a Roti (Flatbread) maker machine. In this research work, an object detection model, ...

Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...

Autonomous driving is the future trend. Accurate 3D object detection is a prerequisite for achieving autonomous driving. Currently, 3D object detection relies on three main sensors: monocular cameras, ...

Abstract: Communication is the only way we can communicate or express ourselves, but for those with disabilities like deafness and neuropathy face challenges in communicating with others. To enhance ...

Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for ...

With the announcement that Object Detection API is now compatible with Tensorflow 2, I tried to test the new models published in the TF2 model zoo, and train them with my custom data. However, I have ...