Online Courses Free of Cost during #NoPayJan

Malcolm X once said, “Education is our passport to the future”. This has become more relevant than ever in the last year. The COVID-19 pandemic gave a big jolt to the economy and the existing strata of professions across the world. Many succumbed to the pandemic by losing their jobs and facing extensive pay cuts. 

People who were up-to-date with technology made it through the darkest times, making online education become the next big thing across the globe. According to a recent LinkedIn survey, around more than 60% of professionals have increased the amount of time spent on online learning for upskilling during the lockdown period. But the challenge here was that online education was becoming more and more expensive with a consistent fall in the quality of content. Online education slowly started becoming a very far-fetched dream for the common man. 

At CloudxLab, we strive to ensure that education does not feel like a luxury but a basic need that everybody is entitled to. Keeping this in mind, we bring forth the “#NoPayJan” where you can access some of the most sought after and industry-relevant courses completely free of cost. During #NoPayJan anybody who is signing up at CloudxLab will be able to access the contents of all the self-paced courses. This offer will be running from January 1 till January 31, 2021. CloudxLab provides an online learning platform where you can learn and practice Data Science, Deep Learning, Machine Learning, Big Data, Python, etc.

When the highly competitive and commercialized education providers have cluttered the online learning platform, CloudxLab tries to break through with a disruptive change by making upskilling affordable and accessible and thus, achievable.

Happy New Year & Happy Learning!

Improving the Performance of Deep-Learning based Flask App with ZMQ


It is a well-known fact that deep learning models are heavy; with a lot of weights for the deep layers. And it is obviously an overhead to load the model every time we need to get the predictions from the model. Thus this is costly in terms of the time of execution.

In this project, we will mainly focus on addressing this issue, by uniquely integrating the networking functionalities provided by ZMQ library. We will build a server-client based architecture to make the model load exactly once(that is during the starting of the app). The predictions from the model will be served by the model server, as long as it listens to its Flask client which requests it for the predictions for an input image.

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REVA University partners with CloudxLab for setting up Center of Excellence in AI and Deep Technologies

REVA University signs an MoU with CloudxLab to set up a Center of Excellence in AI and Deep Technologies: In the picture, Dr. K.M Babu, Vice Chancellor, Dr. Dhanamjaya, Pro-Vice Chancellor, Sandeep Giri, Founder, CloudX Labs.

REVA University’s REVA Academy for Corporate Excellence (RACE) has inked a memorandum of understanding with CloudxLab for setting up a Center of Excellence in AI and Deep Technologies and providing a platform for promoting research and innovation

REVA University and Cloudxlab research collaboration intends to work on technologies involving, deep learning, reinforced learning, curiosity-based machines, distributed computing, and launching specialized courses in these advanced technologies.

This collaboration will be aimed at providing and launching some highly sought-after courses in deep technologies involving experts from Academia as well as the industry. These courses will be delivered in hybrid mode – a combination of physical classroom, online instructor-led, self-paced, and project-based modes.

Dr. P. Shyama Raju, honorable Chancellor, REVA University  said “This one-of-a-kind collaboration is aimed at being a launchpad for those who are planning to step into the world of AI, Deep Learning and other advanced technologies. It affirms REVA University’s commitment to make high-end technical education available to everyone in the world.”

“With Artificial Intelligence, machine learning, and other high-end technologies influencing every aspect of our lives, we are optimistic that this collaboration will help professionals in shaping their career”, says Sandeep Giri, CEO, and Founder at CloudxLab.

About REVA University 

REVA University is one of the top-ranked private Universities in Bangalore, India, offering a wide range of UG, PG and PhD programs. REVA Academy for Corporate Excellence (RACE) is one of the initiatives of REVA University focused on corporate training to develop visionary enterprise leaders through progressive and integrated learning capabilities. RACE offers best-in-class, specialized, techno-functional, and interdisciplinary programs that are designed to suit the needs of working professionals. 

How to label custom images for YOLO – YOLO 3

In this blog we will show how to label custom images for making your own YOLO detector. We have other blogs that cover how to setup Yolo with Darknet, running object detection on images, videos and live CCTV streams. If you want to detect items not covered by the general model, you need custom training.

In our case we will build a truck type detector. There are 4 types of trucks we will try to identify

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Setup Yolo with Darknet- Yolo 1

We will explore YOLO for image recognition in a series of blogs. This is the first one. In this blog, we will see how to setup YOLO with darknet and run it. We will also demonstrate the various choices you have with YOLO in terms of accuracy, speed and cost, enabling you to make a more informed choice of how you would want to run your models.

Setup Yolo with Darknet

The content in the blog is not unique. However if you are starting with YOLO, this is the first thing you need to do.

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Is there a better time than a Lock-down to Up-skill yourself?

As the world comes to a screeching halt due to the Covid-19 pandemic, it would be reasonable to suggest that there isn’t much to look forward to in the immediate future. As we lay within the confines of our homes, we realize how little it takes to upset the established order.

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Analyzing data of the global pandemic – COVID – 19 using Python

Covid-19 has been declared as a global pandemic. If you are interested to analyse the data by yourself, please follow the instructions below.

The data is made available to everyone at the locations given below.

The data files are in the form of four metrics and are available to download here:
Total confirmed cases:
Total deaths:
New confirmed cases:
New deaths:
The full dataset is available to download here:

In your Jupyter notebook, please follow the instructions given below. To avoid installations of Jupyter or any library, you can simply use CloudxLab – it gives 15 days free subscription.

Import the Pandas library

import pandas as pd

Now, load the data into a DataFrame

dataframe = pd.read_csv('')

Once the data has been loaded, you can perform various operations on it. Please see the image attached below to get an idea of the entire process.

The code for this is available here:

CloudXLab is proud to sponsor RACE360 as a Technology Partner.

RACE360, an Emerging Technology Conference 2019 (Powered by The Times of India) is happening on Wed, Aug 28th at The Lalit Ashok, Bengaluru. It is presented by REVA University, Bengaluru (REVA Academy for Corporate Excellence (RACE)).

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Conference on Computer Vision at Google Asia, Singapore

The deep learning algorithms and frameworks have changed the approach to computer vision entirely. With the recent development in computer vision with Convolutional Neural Networks such as Yolo, a new era has begun. It would open doors to new industries as well as personal applications.

After the successful bootcamps held at IIT Bombay, NUS Singapore, RV College of Engineering, etc, CloudxLab in collaboration with IoTSG and Google Asia conducted a successful conference on Understanding Computer Vision with AI using Tensorflow on May 11, 2019, at Google Asia, Singapore office.

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