Computer vision is a subset of artificial intelligence where the goal is to process an image and then give a machine the ability to see what’s inside that image using machine learning algorithms. In this article, I will introduce you to 5 computer vision projects using Python.
5 Computer Vision Projects using Python
Most of the tasks of computer vision are involved in processing an image and then detecting an object in that image. This process can also be done using a camera in real-time. The Face Id in iPhones is the perfect example of computer vision applications. Below are some of the best computer vision projects solved and explained using Python.
Satellite Imagery Analysis:
The task of analyzing satellite images is based on the applications of image processing which is a subset of computer vision. To start your first computer vision project, this will be an amazing use case. Here you will learn how to process the images generated by the satellites. You can get this computer vision project solved and explained using Python from here.
Real-Time Face Mask Detection:
Face mask detection is another amazing application of computer vision. Here, I have used the OpenCV library in Python to detect the face of a person in real-time by using the camera of your system. After detecting the face, I have trained a neural network for detecting whether the person is wearing a mask or not. You can get this computer vision project solved and explained using Python from here.
Landmark Detection:
Landmark Detection is a computer vision application designed by Google to detect popular man-made and natural structures in an image. This is an amazing app created by Google, so you can use the same idea to train a landmark detection model to detect structure or place from the image. You can get this computer vision project solved and explained using Python from here.
Colour Recognition:
Humans can easily recognize any colour but a machine cannot recognize any colour. A computer is only programmed to show you your desired colour but it cannot recognize colours the way humans does. But we can train a machine to recognize colours from an image. This is again an amazing use case of computer vision. You can get this computer vision project solved and explained using Python from here.
Image Recognition:
In image recognition, our task is to detect who is inside an image in more details. In object detection, we detect where is the object inside the image but in image recognition, we tend to detect what type of object it is. For example, if you are detecting where is the person inside the image then it is object detection, but if you are detecting the person and you can recognize the name or gender of the person then it is image recognition. In this project, you will learn how to recognize the species of a dog. You can get this project solved and explained from here.
Summary
So these were some of the best computer vision projects that you can start your computer vision journey with. All 5 projects mentioned above are solved and explained using the Python programming language. Hope you liked this article on 5 Computer Vision Projects using Python. Please feel free to ask your valuable questions in the comments section below.
