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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mask-r-cnn-robust-deep-learning-segmentation-in-1-hour/
课程评论：没有评论
Coursera 课程: Mask R-CNN - 1小时掌握实用的深度学习分割 本课程专注于实践，旨在帮助您一步一步地实现 Mask R-CNN 深度学习模型，从训练到推理。 **课程概述:** * **解决痛点:** 课程识别并解决了AI目标分割新手常遇到的困难，包括： * 数据集标注过程繁琐且耗时。 * 不同目标检测模型的标注格式不兼容。 * 免费标注工具可能导致标签损坏。 * 模型训练过程指令不清，容易导致无效的试错。 * 重复图像管理困难。 * **Supervisely 工具介绍:** 课程推荐并演示使用Supervisely，一个免费的对象分割工作流工具，它能： * 利用AI辅助数据集标注。 * 实现一次标注，多模型通用 (Mask-RCNN, Yolo, SSD, FR-CNN, Inception等)。 * 提供高效的标注和数据增强功能。 * 自动处理重复图像。 * 支持在线免费训练AI模型 (需自行配置深度学习集群)。 * **课程收益:** 通过学习本课程，您将能够： * 了解基于Mask R-CNN预训练模型的最新目标检测技术。 * 掌握能节省时间与成本的对象分割工作流。 * 学会快速收集图像、标注数据集并避免重复。 * 学习利用数据增强技术倍增数据量。 * 了解如何使用AI辅助进行数据集标注。 * 学习从零开始训练自定义的Mask R-CNN模型，例如用于道路坑洼检测、分割与像素分析。 * 获得执行、收集、标注、训练和部署自定义Mask R-CNN模型的详细步骤。 * **附加福利:** * 神经网络基础知识。 * 课程提供个性化帮助，包括定期办公时间解答问题。 * 课程会定期更新以反映市场变化。 * **证书与保障:** * 完成100%课程可获得结业证书，证明您的专业技能。 * 课程提供30天无条件退款保证。 **学习目标:** 学员将能够使用Mask R-CNN进行深度学习分割，并掌握从数据收集、标注、训练到模型部署的完整流程，特别侧重于通过Supervisely工具提高效率和缩短上市时间。
***Important Notes***This is a practical-focused course. While we do provide an overview of Mask R-CNN theory, we focus mostly on helping you get Mask R-CNN working step-by-step. Learn how we implemented Mask R-CNN Deep Learning Object Detection Models From Training to Inference - Step-by-StepWhen we first got started in Deep Learning particularly in Computer Vision, we were really excited at the possibilities of this technology to help people. The only problem is that if you are just getting started learning about AI Object Segmentation, you may encounter some of the following common obstacles along the way:Labeling dataset is quite tedious and cumbersome, Annotation formats between various object detection models are quite different.Labels may get corrupt with free annotation tools,Unclear instructions on how to train models - causes a lot of wasted time during trial and error.Duplicate images are a headache to manage. This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market. Amongst the possible solutions we arrived at using Supervisely which is free Object Segmentation Workflow Tool, that can help you:Use AI to annotate your dataset for Mask segmentation,Annotation for one dataset can be used for other models (No need for any conversion) - Mask-RCNN, Yolo, SSD, FR-CNN, Inception etc,Robust and Fast Annotation and Data Augmentation,Supervisely handles duplicate images.You can Train your AI Models Online (for free) from anywhere in the world, once you've set up your Deep Learning Cluster.So as you can see, that the features mentioned above can save you a tremendous amount of time. In this course, I show you how to use this workflow by training your own custom Mask RCNN as well as how to deploy your models using PyTorch. So essentially, we've structured this training to reduce debugging, speed up your time to market and get you results sooner. In this course, here's some of the things that you will learn:Learn the State of the Art in Object Detection using Mask R-CNN pre-trained model,Discover the Object Segmentation Workflow that saves you time and money,The quickest way to gather images and annotate your dataset while avoiding duplicates,Secret tip to multiply your data using Data Augmentation,How to use AI to label your dataset for you,Find out how to train your own custom Mask R-CNN from scratch for Road Pothole Detection, Segmentation & Pixel Analysis,Step-by-step instructions on how to Execute,Collect Images, Annotate, Train and Deploy Custom Mask R-CNN models,and much more...You also get helpful bonuses:Neural Network FundamentalsPersonal help within the courseWe donate my time to regularly hold office hours with students. During the office hours you can ask me any business question you want, and we will do my best to help you. Students can start discussions and message us with private questions. We regularly update this course to reflect the current marketing landscape.Get a Career Boost with a Certificate of Completion Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.If you want to get a marketing job or freelancing clients, a certificate from this course can help you appear as a stronger candidate for Artificial Intelligence jobs.Money-Back GuaranteeThe course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed just like I've done for thousands of my other students. Let me help you get fast results. Enroll now, by clicking the button and let us show you how to Develop Object Segmentation Using Mask R-CNN.
