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.
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
Able-bodied humans express and communicate their needs and ideas with each other through the exchange of verbal and non-verbal information. However, those with neuromuscular disorders, either inherited or acquired by other factors, have high needs …
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