Udemy - Python Object Detection

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.
Horoscope
Currency conversion
Watermark
Plagiarism
Text2Speech with mp3 player
Who this course is for
Python Beginners
Machine Learning Enthusiast
Open CV Beginners
Freelance developers
Homepage
https://www.udemy.com/course/lab-python-object-detection/


Udemy - Python Object Detection Fast Download
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