Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

# This is needed since the notebook is stored in the object_detection folder. sys.path.append("..") # Object detection imports from object_detection.utils import label_map_util ### CWH: Add ...

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: Recently, on-device object detection has gained significant attention as it enables real-time visual data processing without the need for a connection to a remote server. However, deploying ...

Abstract: Objects in household that are frequently in use often follow certain patterns with respect to time and geographical movement. Analysing these patterns can help us keep better track of our ...

创建能够在单个图像中识别和定位多个对象的精确机器学习模型仍然是计算机视觉的核心挑战。但是，随着最近在深度学习方面的进步，物体检测应用程序比以往任何时候都更容易开发。TensorFlow 的对象检测 API 是一个基于 TensorFlow 构建的开源框架，可以轻松构建 ...