Neural Networks are great and very popular in AI/ML spaces, but they require too much data to train. For tasks like object detection, signature verification, voice verification, and prescription pills…
TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On the other hand, it won’t be as great without the…
Edge detection is very common and widely used image processing necessary for many different computer vision applications like data extraction, image segmentation, and in more granular level feature extraction, and…
One of the most commonly used segmentation techniques is thresholding. It is widely used in computer vision and is very useful to separate the object that we are interested in…
One of the most used libraries for handling image processing and manipulation is openCV for Python users. For image classification, object detection, or optical character recognition, any work related to…
Convolutional Neural Network is a great tool for Image classification. It can perform other artificial intelligence tasks as well. But this article will focus primarily on image recognition. I have…
The Convolutional Neural Network (CNN) is a multi-layered neural network that is known to be able to detect patterns and complex features. It has been useful in face detection, self-driving cars, and a lot more very…