Build a convolutional neural network to classify images of letters from American Sign Language
This page has detail explanation of building a handwritten Kannada alphabets image dataset.
Assistive robots are used by various individuals with medical disabilities to help with tasks such as movement. A subset of these individuals are patients with the locked- in syndrome; these patients cannot communicate with a robot through …
This project combines the face identification and mask detection techniques
Building a deep learning model (CNN) that can automatically detect honey bees and bumble bees in image
Build a model that can automatically detect honey bees and bumble bees in images using PCA and SVM
A Datacamp project - Load, transform, and understand images of honey bees and bumble bees in Python
A simple document scanner implemented using OpenCV and python
We classify the MNIST dataset i.e., digits from 0-9 using PCA for Dimensionality reduction and kNN as classifier and also we show the relationship between number of training images and classification accuracy.
Implementation and building a Double Handed Indian Sign Language database