OBJECT RECOGNITION - 翻译成中文

• 物体识别
• 对象识别
• 目标识别
• 物品识别

在 英语 中使用 Object recognition 的示例及其翻译为 中文

A: Fault in the object recognition system, which may have failed to classify Herzberg and her bike as a pedestrian.
对象识别系统故障，它可能没有把赫茨伯格和她的自行车归类为行人。

In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.
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。

The camera has a piddling 320 x 320 resolution, an FGPA chip to handle processing, and is loaded with a state of the art object recognition algorithm.
该相机具有320x320的分辨率，内建一个负责处理数据的fgpa芯片，并加载了最先进的物体识别算法。

Other parts of the illustrations are used to teach and reinforce object recognition and naming, such as“cup” or“plate.”.
插图的其他部分用于教授和加强对象识别和命名，如“cup”或“plate”。

Because of access to billions of images, for example, object recognition technology can now function at near human-level accuracy.
由于对数以亿计的图像的访问，比如，如今目标识别技术正常运转可以达到接近人类级别的准确性。

Automatic car is a good fantasy, but the object recognition and other AI problems, but it is difficult to solve.
自动车是一个美好的幻想，可是物体识别等AI问题，却很难解决。

Several times during our testing, we had to compile software packages, including when we wanted to get an object recognition demo going.
在我们的测试过程中，我们不得不多次编译软件包，包括我们想要获得对象识别演示的时候。

In the Audi A4, A5, Q5 and Q7 models, object recognition has already been implemented in series production with the help of supervised learning.
在奥迪A4、A5、Q5及Q7车型中，奥迪配置了目标识别系统，旨在帮助实现监督式学习。

Alongside Hanke, other Niantic executives explained how the Real World engine uses a cutting-edge blend of computer vision, depth detection, and real-time object recognition.
除了Hanke之外，Niantic的其他高管还解释了RealWorld引擎如何使用计算机视觉、深度检测和实时物体识别的尖端组合。

In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.
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。

The underlying technology is used in facial recognition and other types of image-based object recognition applications.
这种底层技术常用于人脸识别和其他类型的基于图像的对象识别应用程序中。

Apple suggests the patent could also use a machine learning or deep learning algorithm to better improve the model refinement and object recognition processes.
苹果公司表示，该专利还可以使用机器学习或深度学习算法来更好地改进模型调整和物体识别过程。

Apple suggests the patent could also use a machine learning or deep learning algorithm to better improve the model refinement and object recognition processes.
苹果公司的专利提出，还可以利用机器学习或深度学习算法，来更好地改进模型细化和对象识别过程。

The deep learning pipeline is able to perform two to three object recognition tasks per second.
深度学习流水线每秒能够执行2到3个目标识别任务。

This week at the Embedded Vision Summit in California we are showcasing our latest Convolutional Neural Network(CNN) object recognition demo.
本周在加利福利亚举办的嵌入式视觉峰会（EVS）上，我们展示了最新的卷积神经网络(CNN)物体识别演示….

The deep learning pipeline is able to perform two to three object recognition tasks per second.
深度学习流水线每秒能够执行2到3个目标识别任务。

In a typical machine learning approach, you would divide the problem into two steps: object detection and object recognition.
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。

This"novel object recognition" test improves on classic maze tests commonly used in rodent studies.
这种“新颖的物体识别”测试改进了啮齿动物研究中常用的经典迷宫测试。

Modern object recognition models have millions of parameters and can take weeks to fully train.
RetrainInceptionV3物体识别模型有数百万个参数，可能需要几周才能完全训练。

Use of the non-accidental principle helps object recognition, but occasionally leads to error.
非偶然性原则有助于物体识别，但偶尔也会导致错误。