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所在平台: Udemy |
课程主页: https://www.udemy.com/course/creating-coco-datasets/
课程评论：没有评论
**课程名称：COCO 数据集创建完整指南** **课程概述：** 本课程将教授您如何创建包含自定义对象类别的 COCO 数据集。您将学习如何利用 GIMP 图像编辑器和 Python 代码，以最小的手动操作生成数千张逼真的合成图像。课程将详细讲解所有代码，并提供 GitHub 链接，帮助您从根本上理解代码并根据自身需求进行修改。 **重要提示：** 本课程 **不适合** 仅想进行手动图像标注的学习者。如需手动标注，请搜索“coco annotator”。本课程专注于 **自动化数据集生成**。 **课程学习目标：** * 全面掌握 COCO 数据集的工作原理。 * 学会使用 GIMP 制作合成图像数据集的组成元素。 * 理解如何使用代码生成 JSON 格式的 COCO Instances 标注。 * 能够自动创建包含数千张图像的自定义训练数据集。 * 训练 Mask R-CNN 模型以识别并精确标记自定义对象类别的像素。 * 将所学知识应用于实际问题。 **课程价值：** 本课程提供的方法可以节省数周的宝贵时间，避免了耗时且枯燥的手动图像标注工作（手动标注 1000 张图像可能需要整整一个 40 小时的工作周）。课程强调时间价值，使您能专注于解决更重要的问题，而非花费数周时间进行图像描边。 **背景音乐：** Silk Music - Shingo Nakamura - Hakodate
In this course, you'll learn how to create your own COCO dataset with images containing custom object categories. You'll learn how to use the GIMP image editor and Python code to automatically generate thousands of realistic, synthetic images with minimal manual effort. I'll walk you through all of the code, which is available on GitHub, so that you can understand it at a fundamental level and modify it for your own needs.(Important: If you only want to do manual image annotation, this course is not for you. Google "coco annotator" for a great tool you can use. This course teaches how to generate datasets automatically.)By the end of this course, you will:Have a full understanding of how COCO datasets workKnow how to use GIMP to create the components that go into a synthetic image datasetUnderstand how to use code to generate COCO Instances Annotations in JSON formatCreate your own custom training dataset with thousands of images, automaticallyTrain a Mask R-CNN to spot and mark the exact pixels of custom object categoriesBe able to apply this knowledge to real world problemsI've saved weeks of my precious time using this method because I'm not doing the tedious task of manual image labeling, which can easily take a full 40 hour work week to create 1000 images. You should value your time too. After all, how are you going to solve the world's problems if you're busy clicking outlines on images for the next couple weeks?Soundtrack by Silk MusicTrack name: Shingo Nakamura - Hakodate
