🎥 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.

NVIDIA DeepStream SDK

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

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.

MobileNet in CoreML with Vision implemented for iPhone iOS in Swift

Support c/c++, lua, python2.7.14, 3.4.5, 3.5.4, 3.6.3, ruby225, 235, 242

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

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

Scene similarity for weak object discovery & classification

my notes from CNN course of Deep Learning by Andrew Ng

Scene segmentation for autonomous vehicles using DL techniques

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

Implemented a CNN to classify images from CIFAR-10 dataset

Blind Object Classification

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

Multiple approaches tried for Object classification on Caltech 101 Dataset

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

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

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

[CSED441] Introduction to Computer Vision Assignment - 2017 Fall

Code to count the number of objects detected using the picamera on the raspberry pi 3.

A simple object classificator

text classification based on Keras, CNN and LSTM