Python Object Detection

人工智能的重要领域之一是计算机视觉。计算机视觉是可以识别和理解图像和场景的计算机和软件系统的科学。计算机视觉也是由图像识别、物体检测、图像生成、图像超分辨率等各个方面组成的。由于实际用例的数量，对象检测可能是计算机视觉中最深刻的方面。在本教程中，我将简要介绍现代对象检测的概念、软件开发人员面临的挑战、我的团队提供的解决方案以及执行高性能对象检测的代码教程。

对象检测是指计算机和软件系统在图像/场景中定位对象并识别每个对象的能力。目标检测已广泛用于人脸检测、车辆检测、行人计数、网络图像、安全系统和无人驾驶汽车。在许多实践领域中，也有许多方法可以使用对象检测。与其他所有计算机技术一样，对象检测的广泛创造性和惊人用途肯定来自计算机程序员和软件开发人员的努力。

课程

在一小时内学会用最少的编码和不涉及数学的方式创建机器学习模型。我们将使用 Google Teachable 机器并探索用于对象检测的不同测试用例。

该课程还包括一些很酷的 Python 自动化库。

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Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 9 lectures (1h 51m) | Size: 927.3 MB

Google Teachable Machine

What you’ll learn
Python
Object Detection
Teachable Machine
Open CV(Computer Vision)
Tensorflow

Requirements
Laptop and basic Python Programming

Description
Object Detection Intro

One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognise and understand images and scenes. Computer Vision is also composed of various aspects such as image recognition, object detection, image generation, image super-resolution and more. Object detection is probably the most profound aspect of computer vision due the number practical use cases. In this tutorial, I will briefly introduce the concept of modern object detection, challenges faced by software developers, the solution my team has provided as well as code tutorials to perform high performance object detection.

Object detection refers to the capability of computer and software systems to locate objects in an image/scene and identify each object. Object detection has been widely used for face detection, vehicle detection, pedestrian counting, web images, security systems and driverless cars. There are many ways object detection can be used as well in many fields of practice. Like every other computer technology, a wide range of creative and amazing uses of object detection will definitely come from the efforts of computer programmers and software developers.

Course

Learn to create Machine Learning Model within an hour with minimal coding and no math involved. We will be using the Google Teachable machine and exploring different test cases for object detection.

The course also includes some cool automation libraries of Python.

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Who this course is for
Python Beginners
Machine Learning Enthusiast
Open CV Beginners
Freelance developers