Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. A mobile app that uses Watson Visual Recognition to provide nutritional analysis of captured food images.
Create an iOS phone application that sorts waste into three categories (landfill, recycling, compost) using a Watson Visual Recognition custom classifier
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
Fire Alarm using Watson Visual Recognition This project is a how-to guide on using Watson Visual Recognition service to analyse an image and based on a trigger word then send a event command to IoT Device.In this example node-red is used to create an image upload form which sends the image to Watson Visual Recognition and trigger an iot device whenever fire is detected in the image.