对象检测 英语是什么意思 - 英语翻译

• object detection

在 中文 中使用 对象检测 的示例及其翻译为 英语

WAVE计算机视觉IP的实时对象检测。
WAVE computer vision IP for detecting objects in real time.

虽然它是一种较窄类型的对象检测，但所使用的方法适用于其他类型的对象，我们稍后将对其进行描述。
While it's a narrower type of object detection, the methods used apply to other types of objects as we will describe later.

更具体地说，研究人员训练了一个用于简单视觉对象检测的深度神经网络，这在该领域的研究中并不罕见。
More specifically, researchers trained a deep neural network for simple visual object detection, which is not uncommon in this field of research.

您可以期望云记录，对象检测和智能警报的价格为每月3到15美元。
You can expect cloud recording, object detection and intelligent alerts for $3 to $15 per month.

它为图像分类、对象检测、文本及数字数据分析提供了一套易于使用的API。
It offers an easy-to-use API for image classification, object detection, and text and numerical data analysis.

对象检测与图像追踪为开发者带来新工具，可支持其在空间中移动时识别真实世界的对象并追踪图像。
Object detection and image tracking gives developers new tools to recognize real world objects and track images while they move through space.

对象检测与对象识别是用于鉴别对象的相似技术，但它们的执行过程有所不同。
Object detection and object recognition are similar techniques for identifying objects, but they vary in their execution.

ARKit2.0提供改进的面部追踪，逼真的渲染以及对3D对象检测的支持。
ARKit 2.0 delivers improved face tracking, realistic rendering, and support for 3D object detection.

可以从头开始开发模型，包括使用CNN进行图像分类、对象检测、回归等。
Models can be developed from scratch, including using CNNs for image classification, object detection, regression, and more.

在存储器中使用AI可以显著提高耐用性和可靠性，同时还支持对象检测、跟踪、分类等等。
The use of AI in storage brings the potential to substantially increase endurance and reliability, while also supporting object detection, tracking, classification, and much more.

在这个PythonOpenCV教程中，我们将讨论HaarCascades对象检测。
In this OpenCV with Python tutorial, we're going to discuss object detection with Haar Cascades.

现在您已了解了深度学习技术如何从标记的示例图像中学习，并创建对象检测API。
Now you have seen how deep learning technology is able to learn from labeled example images and create an object detection API.

在推理时，模型需要额外的硬件来执行复杂的数学计算，以加速对象检测和面部识别等任务。
While processing, the model often need additional hardware to perform complex mathematical computations to speed up tasks such as facial recognition and object detection.

这些系统到位后，可以继续使用更高级别的机器人视觉功能，即：对象检测和分类以及对象跟踪和导航。
Once these systems are in place, you can move on to higher-level robotic vision functionality, namely: object detection and classification, and object tracking and navigation.

我们在CIFAR-10上执行了架构搜索，并将学到的最好架构转移到ImageNet图像分类和COCO对象检测中。
We performed architecture search on CIFAR-10 and transferred the best learned architecture to ImageNet image classification and COCO object detection.

创建持久、共通的AR体验，并充分利用完整的2D图像跟踪和静态3D对象检测。
Create persistent, shared AR experiences, and take advantage of full 2D image tracking and static 3D object detection.

我们对这种方法在更大、更具挑战性的数据集（例如ImageNet图像分类和COCO对象检测）上的表现充满好奇。
We became curious how this method would perform on larger more challenging datasets, such as ImageNet image classification and COCO object detection.

在典型的机器学习方法中，我们会将问题分为两个步骤：对象检测和对象识别。
In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.

深度学习(DL)已促进许多实用技术的飞速发展，如机器翻译、语音识别和对象检测。
Deep Learning(DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection.

我们也开源了部分数据库，比如Detectron，它支持对象检测研究，涵盖了边界框和对象实例的分割输出。
We have also open-sourced other libraries, such as Detectron, which supports object-detection research, covering both bounding box and object instance segmentation outputs.

在推理时，模型需要额外的硬件来执行复杂的数学计算，以加速对象检测和面部识别等任务。
While inferencing, the model needs additional hardware to perform complex mathematical computations to speed up tasks such as object detection and facial recognition.

在推理时，该模型需要额外的硬件来执行复杂的数学计算，以加速对象检测和面部识别等任务。
During the inference, the model needs additional hardware to perform mathematical computations to speed up tasks such as object detection and facial recognition.

例如，就ResNet-50而言，其在COCO对象检测基准测试中的增益(1.87%)大大低于使用ResNet-152时的增益(3%)。
For example, in case of ResNet-50 the gain on COCO object detection benchmark is much smaller(1.87%) compared to(3%) when using ResNet-152.

对象检测是计算机视觉的一项任务，涉及对给定图像识别一个或多个对象的存在性、位置、类型等属性。
Object detection is a task in computer vision that involves identifying the presence, location, and type of one or more objects in a given photograph.

对象检测-MaskR-CNN，适用于COCO。
Object Detection: Mask R-CNN applied to COCO.

使用通过AutoML发现的网络进行对象检测.
Object detection with a network discovered by AutoML.

对象检测才是正确的方法。
Personality testing is the right way.

亚马逊说它是一个对象检测工具。
Amazon said it's an object detection tool.

局部细化模型SharpMask和对象检测方案MultiPathNet。
SharpMask, a segment refinement model; and MultiPathNet, an object detection solution.