目标 检测 英语是什么意思 - 英语翻译

• object detection
• target detection

在 中文 中使用 目标 检测 的示例及其翻译为 英语

目标检测是计算机视觉中的经典问题之一：.
Object detection is one of the classical problems in computer vision:.

目标检测系统.
Target Detection System.

它们可以用于图像分类、目标检测甚至图像分割。
They can be used for Image classification, Object Detection or even segmentation of images.

例如，目标检测可以用来配置人脸识别系统。
For instance, target detection can be used to configure face recognition system.

目标检测、跟踪和报告功能由卫星天线执行。
Detection of objects, tracking, and reporting functions are performed by military satellite antennas.

我们从阿拉德出发，目标检测是什么呢？
Let's say we start off in Arad, and the goal test.

摘要非最大抑制是目标检测流程的重要组成部分。
Non-maximum suppression is an integral part of the object detection pipeline.

目标检测、跟踪和报告功能由卫星天线执行。
Object detecting, tracking and reporting functions are performed by satellite antennas.

我们可以把实例分割看作是目标检测的下一步。
Instance segmentation can be seen as a next step after object detection.

ImageAI支持许多强大的目标检测过程。
ImageAI supports many powerful customization of the object detection process.

他们使用了平均精度来评估目标检测的结果。
Average Precision was used to evaluate the object detection results.

近年来，伴随着人工智能的快速发展，目标检测成为计算机视觉的一项重要基础任务。
In recent years, with the rapid development of artificial intelligence, object detection has become an important basic task of computer vision.

昼间和夜间车辆目标检测距离分别为5,000米和3,000米。
The target detection ranges of the vehicle during the day and night are 5,000m and 3,000m respectively.

我们在ImageNet分类和COCO目标检测任务上测试了该方法的有效性。
We tested the effectiveness of our approach on ImageNet classification and COCO object detection.

其中目标检测分支通过RPN提取目标区域，并对其进行分类实现目标的实例化；.
The target detection branch extracts the target area through RPN, and classifies it to realize the instantiation of the target;.

目标检测是计算机视觉领域中最常见的应用之一。
Object detection is one of the most common applications in the field of computer vision.

AmazonSageMaker现已支持使用K-近邻算法(kNN)和目标检测算法来处理机器学习中的更多识别、分类和回归用例。
Amazon SageMaker now supports the k-Nearest-Neighbor(kNN) and Object Detection algorithms to address additional identification, classification, and regression use cases in machine learning.

今年的ICCV会议主要的关注方向为深度学习、3D目标检测、图像视频等等。
The main topics of this year's ICCV were deep learning, 3D target detection and image video.

这些实验的结果可以在选择目标检测模型时，为你提供一些有价值的见解。
The outcome of these experiments can give you some valuable insights while selecting an object detection model.

电路层配有影像处理电路和可编程列并行处理器，可进行高速目标检测和跟踪。
The circuit layer is equipped with image processing circuits and a programmable column-parallel processor, ensuring high-speed target detection and tracking.

现在，我们将开始把深度学习+目标检测的代码应用于视频流中，同时测量FPS处理速度。
From there, we will apply our deep learning+ object detection code to actual video streams and measure the FPS processing rate.

此外，还采用Attention机制来提供高语义意义和类感知的特征，激活和校准用于目标检测的特征图。
In addition, the Attention mechanism is used to provide high semantic and class-aware features to activate and calibrate feature maps for target detection.

之后，我们以系统的方式全面概述了各种目标检测方法，涵盖了一级和二级检测器。
Afterwards and primarily, we provide a comprehensive overview of a variety of object detection methods in a systematic manner, covering the one-stage and two-stage detectors.

另一个思路就是构建目标检测模型，让它寻找道路上绘制的停车位标志，就像这样：.
Another idea is to build an object detection model that looks for the parking space hash marks drawn on the road, like this:.

如今，人工智能算法执行图像分类、目标检测和面部识别等任务，其准确度往往超过人类。
AI algorithms now perform tasks like image classification, object detection and facial recognition with accuracy that often exceeds that of humans.

此外，计算机视觉、目标检测和图像分割也变得更加精准，甚至在医学诊断和生物学研究中可与人类媲美。
Additionally, computer vision, object detection, and image segmentation are becoming extremely accurate and rivaling humans in medical diagnosis and biology research.

在一个传统机器学习方法中，你会把问题分成两个步骤：目标检测和目标识别。
In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.

已经有公司开始使用来自Planet和DescartesLabs公司的卫星图像，应用目标检测技术进行车辆、树木和船只的数量统计。
There are already companies using satellite imagery from companies like Planet and Descartes Labs, applying object detection to count cars, trees and ships.

典型机器学习方法将这个问题分为两步：目标检测与目标识别。
In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.

这个代码库是一个建立在TensorFlow顶部的开源框架，方便其构建、训练和部署目标检测模型。
This codebase is an open-source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models.