There are 3 repositories under visual-recognition topic.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
:comet: Node.js library to access IBM Watson services.
UI.Vision: Open-Source RPA Software (formerly Kantu) - Modern Robotic Process Automation with Selenium IDE++
Classify images offline using Watson Visual Recognition and Core ML
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Custom Object Detection with TensorFlow
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Improving Generalization via Scalable Neighborhood Component Analysis
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.
PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
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WARNING: This repository is no longer maintained ⚠️ This repository will not be updated.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.
[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)
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.
🕶 Classify images offline using Watson Visual Recognition and Core ML.
Deep Understanding of Traffic Scenes for Autonomous Driving
Build Change - Intelligent Supervision Assistant for Construction - Sistema Inteligente de Monitoreo de Obra. This project is an offshoot of PD3R, runner-up in the CFC 2018 Global Challenge.
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.
Blue Cloud Mirror - IBM Cloud Technology Showcase
Unofficial PyTorch reimplemention of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" [CVPR 2021].
[Preprint] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
An iOS application written in Swift that uses Watson Visual Recognition
[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)
Challenges and solutions • Behind the Code 2020
Classify images as soon as you upload them in a database with serverless functions
WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode.