Build a convolutional neural network to classify images of letters from American Sign Language
This project combines the face identification and mask detection techniques
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 …
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