Examples of using Object detection in English and their translations into Chinese
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Object Detection- In object detection, you task is to identify where in the image does the objects lies in.
Object detection is the problem of finding and classifying a variable number of objects on an image.
From there, we will apply our deep learning+ object detection code to actual video streams and measure the FPS processing rate.
Quanergy is a Silicon-Valley-based startup developing smart sensing solutions for real-time 3D mapping and object detection, tracking, and classification.
It offers an easy-to-use API for image classification, object detection, and text and numerical data analysis.
Today we are happy to make this system available to the broader research community via the TensorFlow Object Detection API.
As prevention methods, vaccines or disease modifying drugs become available, markers like novel object detection may help to identify the high priority candidates.'.
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.
An object detection system is supposed to avoid the potential problem of the buried coils heating up a piece of metal left on the road.
Object detection and image tracking gives developers new tools to recognize real world objects and track images while they move through space.
As evident by their titles, Fast R-CNN and Faster R-CNN worked to make the model faster and better suited for modern object detection tasks.
There are already companies using satellite imagery from companies like Planet and Descartes Labs, applying object detection to count cars, trees and ships.
GHz-band radar is a key development for vehicles, and is also used in infrastructure applications for position sensing and object detection.
Another idea is to build an object detection model that looks for the parking space hash marks drawn on the road, like this.
Object detection and object recognition are similar techniques for identifying objects, but they vary in their execution.
In their paper, the researchers were able to generate enough magnetic field to enable practical applications in object detection.
As ARKit continues to improve, users can anticipate improved face-tracking, rendering, 3D object detection, and stunning experiences overall in the next few years.
The three main tasks in autonomous driving perception are localization, object detection, and object tracking.
AI algorithms now perform tasks like image classification, object detection and facial recognition with accuracy that often exceeds that of humans.
ARKit 2.0 delivers improved face tracking, realistic rendering, and support for 3D object detection.