Create Your Own Real Image Dataset with python (Deep Learning)

We have all worked with famous Datasets like CIFAR10 , MNIST , MNIST-fashion , CIFAR100, ImageNet and more. But , what about working on projects with custom made datasets according to your own needs. This also essentially makes you a complete master when it comes to handling image data

most of us probably know how to handle and store numerical and categorical data in csv files. But, the idea of storing Image data in files is very uncommon. Having said that , let’s see how to make our own image dataset with python

Code Begins Here :

1)Let’s start by importing the necessary libraries

#importing the libraries
import os 
import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
  1. Then , we need to set the path to the folder or directory that contains the image files. Here, the pictures that I need to upload are being stored in the path mentioned below
#setting the path to the directory containing the pics
path = '/media/ashwinhprasad/secondpart/pics'

#image-dataset #machine-learning-datasets #own-image-dataset #real-data #deep learning

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Create Your Own Real Image Dataset with python (Deep Learning)
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Create Your Own Real Image Dataset with python (Deep Learning)

We have all worked with famous Datasets like CIFAR10 , MNIST , MNIST-fashion , CIFAR100, ImageNet and more. But , what about working on projects with custom made datasets according to your own needs. This also essentially makes you a complete master when it comes to handling image data

most of us probably know how to handle and store numerical and categorical data in csv files. But, the idea of storing Image data in files is very uncommon. Having said that , let’s see how to make our own image dataset with python

Code Begins Here :

1)Let’s start by importing the necessary libraries

#importing the libraries
import os 
import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
  1. Then , we need to set the path to the folder or directory that contains the image files. Here, the pictures that I need to upload are being stored in the path mentioned below
#setting the path to the directory containing the pics
path = '/media/ashwinhprasad/secondpart/pics'

#image-dataset #machine-learning-datasets #own-image-dataset #real-data #deep learning

Marget D

Marget D

1618317562

Top Deep Learning Development Services | Hire Deep Learning Developer

View more: https://www.inexture.com/services/deep-learning-development/

We at Inexture, strategically work on every project we are associated with. We propose a robust set of AI, ML, and DL consulting services. Our virtuoso team of data scientists and developers meticulously work on every project and add a personalized touch to it. Because we keep our clientele aware of everything being done associated with their project so there’s a sense of transparency being maintained. Leverage our services for your next AI project for end-to-end optimum services.

#deep learning development #deep learning framework #deep learning expert #deep learning ai #deep learning services

Myah  Conn

Myah Conn

1593292440

Emojify - Create your own emoji with Deep Learning

Deep Learning project for beginners – Taking you closer to your Data Science dream

Emojis or avatars are ways to indicate nonverbal cues. These cues have become an essential part of online chatting, product review, brand emotion, and many more. It also lead to increasing data science research dedicated to emoji-driven storytelling.

With advancements in computer vision and deep learning, it is now possible to detect human emotions from images. In this deep learning project, we will classify human facial expressions to filter and map corresponding emojis or avatars.

create emoji with deep learning

About the Dataset

The FER2013 dataset ( facial expression recognition) consists of 48*48 pixel grayscale face images. The images are centered and occupy an equal amount of space. This dataset consist of facial emotions of following categories:

  • 0:angry
  • 1:disgust
  • 2:feat
  • 3:happy
  • 4:sad
  • 5:surprise
  • 6:natural

Download Dataset: Facial Expression Recognition Dataset

Download Project Code

Before proceeding ahead, please download the source code: Emoji Creator Project Source Code

Create your emoji with Deep Learning

We will build a deep learning model to classify facial expressions from the images. Then we will map the classified emotion to an emoji or an avatar.

Facial Emotion Recognition using CNN

In the below steps will build a convolution neural network architecture and train the model on FER2013 dataset for Emotion recognition from images.

Download the dataset from the above link. Extract it in the data folder with separate train and test directories.

#python tutorials #create emoji with deep learning #deep learning project #deep learning project for beginners #deep learning project with source code

Ray  Patel

Ray Patel

1625843760

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services