Examples of using Object detection in English and their translations into Japanese
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But in testing, the object detection model did not see toys as being the same as their real counterparts.
From object detection to linear position and fluid measurement, from error proofing to Industrie 4.0 applications.
We installed Darknet, a neural network framework, on Jetson Nano to create an environment that runs the object detection model YOLOv3.
AI NVR™ can perform AI-based object detection and recognition directly from IP camera RTSP streams.
Such an approach yields cluster-based object detection results for the first stereo images and cluster-based object detection results for the second stereo images.
Start shipping stereo camera system with object detection function Automatic operation· Change the movement of people and goods with ZMP practical use of ADAS technology.
Users can also define new OpenVX kernels, giving them flexibility for their current vision applications and the ability to address future object detection requirements.
And it's important to remember that this is a general purpose object detection system, so we can train this for any image domain.
By using high resolution fisheye cameras, the system offers 360-degree high performance object detection and accurate pose estimation.
real-time object detection system.
By using high resolution mega pixel Fisheye cameras, the system offers 360-degree high performance object detection and accurate pose estimation.
There has been much research in recent years on statistical training methods and object detection methods that combine low-level features obtained from local areas.
There are two approaches to find this subset of windows, which lead to two different categories of object detection algorithms.
Object detection and tracking can also be restricted by object size, speed, and X/Y size ratio.
Their applications include image registration, object detection and classification, tracking, and motion estimation.
Pinterest is adding automatic object detection to its visual-search function in its iOS app.
Amazon SageMaker already has two popular built-in computer vision algorithms for image classification and object detection.
You can perform object detection and tracking, as well as feature detection, extraction, and matching.
DIGITS can be used to rapidly train DNNs for image classification, segmentation and object detection tasks.
In machine-learning terms, object detection from still images requires solving two problems at the same time.