Computer Vision Tutorials
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
Satellite Image Classification using TensorFlow in Python
Learn how to fine-tune the current state-of-the-art EffecientNet V2 model to perform image classification on satellite data (EuroSAT) using TensorFlow in Python.
Age and Gender Detection using OpenCV in Python
Learn how to perform age and gender detection using OpenCV library in Python with camera or image input.
Gender Detection using OpenCV in Python
Learn how to perform gender detection on detected faces in images using OpenCV library in Python.
Age Detection using OpenCV in Python
Learn how to predict someone's age from his front face picture using OpenCV library in Python
SIFT Feature Extraction using OpenCV in Python
Learn how to compute and detect SIFT features for feature matching and more using OpenCV library in Python.
How to Apply HOG Feature Extraction in Python
Learn how to use scikit-image library to extract Histogram of Oriented Gradient (HOG) features from images in Python.
Image Transformations using OpenCV in Python
Learn how to perform perspective image transformation techniques such as image translation, reflection, rotation, scaling, shearing and cropping using OpenCV library in Python.
How to Make a Barcode Reader in Python
Learn how to make a barcode scanner that decodes barcodes and draw them in the image using pyzbar and OpenCV libraries in Python
How to Perform Malaria Classification using TensorFlow 2 and Keras in Python
Learn how to build a deep learning malaria detection model to classify cell images to either infected or not infected with Malaria Tensorflow 2 and Keras API in Python.
Skin Cancer Detection using TensorFlow in Python
Learn how to use transfer learning to build a model that is able to classify benign and malignant (melanoma) skin diseases in Python using TensorFlow 2.
