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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-hands-on-covid19-face-mask-detection-cnn-opencv/
课程评论：没有评论
**课程名称：** 数据科学：实战型新冠肺炎口罩检测 - 卷积神经网络（CNN）与OpenCV **课程概述：** 本课程教授如何利用人工智能技术，特别是深度学习中的卷积神经网络（CNN）和计算机视觉库OpenCV，实现对静态图像和视频流中人员佩戴口罩情况的检测。在新冠肺炎疫情背景下，口罩已成为公共场所防控疫情的重要手段。本课程旨在教授学员构建一个能够准确识别是否佩戴口罩的模型，该模型可广泛应用于商场、公交车站等人员密集区域，以辅助疫情防控管理。 课程内容强调实操性，采用“短小精悍，直击要点”的教学风格，避免不必要的理论讲解。学员将通过实际操作学习以下关键技能： * 在Google Colab环境中进行数据科学项目开发，并导入所需库。 * 从Kaggle下载数据集至Colab环境。 * 进行数据可视化和数据增强及归一化处理。 * 构建、编译和训练卷积神经网络模型。 * 评估模型性能、测试模型并保存以备未来使用。 * 利用训练好的模型检测静态图像中的口罩佩戴情况。 * 利用训练好的模型在视频流中进行实时口罩佩戴检测。 本课程的技能也可推广应用于其他图像识别任务，如皮肤癌检测、肺炎检测、脑部缺陷分析和视网膜图像分析等。完成课程后，学员将获得结业证书，并可将此项目添加到个人简历中，提升职业竞争力。 **适合人群：** 任何对使用AI检测新冠肺炎口罩，并想构建CNN模型应用于实际场景（如公交车站、机场等公共场所）感兴趣的学习者。
Would you like to learn how to detect if someone is wearing a Face Mask or not using Artificial Intelligence that can be deployed in bus stations, airports, or other public places?Would you like to build a Convolutional Neural Network model using Deep learning to detect Covid-19 Face Mask?If the answer to any of the above questions is "YES", then this course is for you.Enroll Now in this course and learn how to detect Face Mask on the static images as well as in the video streams using Tensorflow and OpenCV. As we know, COVID-19 has affected the whole world very badly. It has a huge impact on our everyday life, and this crisis is increasing day by day. In the near future, it seems difficult to eradicate this virus completely.To counter this virus, Face Masks have become an integral part of our lives. These Masks are capable of stopping the spread of this deadly virus, which will help to control the spread. As we have started moving forward in this ‘new normal' world, the necessity of the face mask has increased. So here, we are going to build a model that will be able to classify whether the person is wearing a mask or not. This model can be used in crowded areas like Malls, Bus stands, and other public places.This is a hands-on Data Science guided project on Covid-19 Face Mask Detection using Deep Learning and Computer Vision concepts. We will build a Convolutional Neural Network classifier to classify people based on whether they are wearing masks or not and we will make use of OpenCV to detect human faces on the video streams. No unnecessary lectures. As our students like to say:"Short, sweet, to the point course"The same techniques can be used in:Skin cancer detectionNormal pneumonia detectionBrain defect analysisRetinal Image AnalysisEnroll now and You will receive a CERTIFICATE OF COMPLETION and we encourage you to add this project to your resume. At a time when the entire world is troubled by Coronavirus, this project can catapult your career to another level.So bring your laptop and start building, training and testing the Data Science Covid 19 Convolutional Neural Network model right now.You will learn:How to detect Face masks on the static images as well as in the video streams.Classify people who are wearing masks or not using deep learningLearn to Build and train a Convolutional neural networkMake a prediction on new data using the trained CNN ModelWe will be completing the following tasks:Task 1: Getting Introduced to Google Colab Environment & importing necessary librariesTask 2: Downloading the dataset directly from the Kagge to the Colab environment.Task:3 Data visualization (Image Visualization)Task 4: Data augmentation & NormalizationTask 5: Building Convolutional neural network modelTask 6: Compiling & Training CNN ModelTask 7: Performance evaluation & Testing the model & saving the model for future useTask 8: Make use of the trained model to detect face masks on the static image uploaded from the local systemTask 9: Make use of the trained model to detect face masks on the video streams So, grab a coffee, turn on your laptop, click on the ENROLL NOW button, and start learning right now.
