Go package for computer vision using OpenCV 4 and beyond.

🎥 iOS11 demo application for dominant objects detection.

Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

NVIDIA DeepStream SDK

记录每一个常用的深度模型结构的特点（图和代码）

[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.

A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python

MobileNet in CoreML with Vision implemented for iPhone iOS in Swift

Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space

support c/c++, lua, python2.7, 3.4, 3.5, 3.6,3.7,3.8, java, ruby2.2, 2.3,2.4,2.5

Scene similarity for weak object discovery & classification

my notes from CNN course of Deep Learning by Andrew Ng

YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift

Blind Object Classification

This repository contains the implementation of an Object Detection and Classification & Line and Circle Detection Application

Scene segmentation for autonomous vehicles using DL techniques

Multiple approaches tried for Object classification on Caltech 101 Dataset

Using tensor flow to build a convolutional neural network to classify 43 different types of traffic signs

Detecting and classifying objects using LiDAR data of KITTI dataset

A simple Node Red subflow for People and Pets detection in Home Automation

Implemented a CNN to classify images from CIFAR-10 dataset

Implementation of a Variational Autoencoder to draw MNIST dataset characters using Tensorflow.

License Plate Recognition System.

[CSED441] Introduction to Computer Vision Assignment - 2017 Fall

In this project I built a Real-Time Object Detector and Classifier created using the YOLO (You Only Look Once) algorithm.

Simple VGG16 classifier using Keras and Streamlit for quick application