Examples of using Detection model in English and their translations into Chinese
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Nobody wants the“second-best” detection model.
The object detection model we provide can identify and locate up to 10 objects in an image.
Amazon has used Hadoop to improve its fraud detection models.
The label detection model was extended and now contains over 10.000 different labels.
Also I would like to use my own trained face detection model.
For example, you can run object detection models at amusement parks to keep track of visitor count.
Also I would like to use my own trained face detection model.
An object detection model is trained to detect the presence and location of multiple classes of objects.
Examples may include search and recommendation engines and fraud detection models.
Obviously, if Eve tried to evade our detection model she would probably come up with some adversarial techniques to do so.
Utilized concepts from R-CNN(a paper we will discuss later) for their detection model.
Another idea is to build an object detection model that looks for the parking space hash marks drawn on the road, like this:.
We will start with the YOLO architecture,because it's one of the fastest detection models around.
Another idea is to build an object detection model that looks for the parking space hash marks drawn on the road, like this:.
The outcome of these experiments cangive you some valuable insights while selecting an object detection model.
The study[Pham 2016] proposed a detection model that incorporates interquartile information of data to predict outliers of the data.
This is now the predominant pipeline for many object detection models, including our next one.
Google has developed new detection models and techniques which can identify repeat offenders and abusive developer networks at scale.
Faster R-CNN, R-FCN,and SSD are three of the best and most widely used object detection models out there right now.
They have developed an Abdominal Aortic Aneurysm detection model and are deploying it on the Nuance AI Marketplace powered by NVIDIA Clara.
The main practical implication of our work is that it can be easily pipelined,using event detection models," Singh said.
The purpose of this research is to determine if an object detection model on a cheap mobile device can be used for real-world tasks.
This project is a faster pytorch implementation of faster R-CNN,aimed to accelerating the training of faster R-CNN object detection models….
Comparing the performance of two slices of data on a smile detection model, with their classification thresholds set to satisfy the“equal opportunity” constraint.
This codebase is an open-source framework built on top of TensorFlow that makes it easy to construct,train and deploy object detection models.
Consider an anomaly detection model based on an auto-encoder that monitors the loading conditions along with a variety of other conditions on the equipment.
These two technologies depend less on existing domain knowledge andensure optimized results through self-correction of the fraud prevention and detection models.
It is the latest evolution of machine learning,which delivers a massively scalable detection model that is able to learn the entire observable threat landscape.
NASA uses a machine-learning toolcalled Amazon SageMaker to train an anomaly detection model using the built-in AWS Random Cut Forest algorithm.
If you are building a fraud model,the fraudsters will adapt their methods to evade detection by your model. .