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Jupyter Hub for Computer Vision using Python packaged by Data Science Dojo

Data Science Dojo

Jupyter Hub for Computer Vision using Python packaged by Data Science Dojo

Data Science Dojo

Our Jupyter Instance provides easy to use environment for Computer Vision applications.

Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

About the offer:

Jupyter Hub for Computer Vision using Python gives you an effortless coding environment in the cloud with pre-installed Computer Vision python libraries, which reduces the burden of installation and maintenance of tasks. Computer Vision gives the machines the sense of sight and it has huge positive impact in the technological development of different areas. Through this offer, a user can work on different applications of Computer Vision including automotive safety, self driving cars, medical imaging, fraud detection, surveillance, intelligent video analytics, image segmentation, and code and character reader(or OCR). The heavy computations required for these applications are not performed on the user's local machine. Instead, They are performed in the Azure cloud, which increases responsiveness and processing speed.

Who benefits from this offer:

  • Teams of developers
  • Data scientists
  • Machine learning engineers
  • Scientific researcher groups
  • And anyone else interested in data science tools

What is included in this offer:
  • Pre-installed Python libraries and packages for Computer Vision.
  • Ready to go notebooks which consist of example codes through which user can get guidance for working on Computer Vision applications.
  • Code consoles to run code interactively, with full support for rich output.
  • Kernel-backed documents enable code in any text file (Markdown, Python, etc.) to be run interactively in Jupyter kernel.
  • Work with multiple notebooks at the same time.
Technical Specifications:

  • Minimum Recommended memory: 28GB RAM
  • Minimum Recommended vCPU: 8 vCPUs
  • Operating System: Ubuntu 20.04
  • For heavy computation GPU is required

Following Authoring Tools are supported in this offer:

  • JupyterHub
  • Jupyter Lab
  • Terminal

Our instance supports following Python Computer Vision libraries:

  • Numpy
  • Matplotlib
  • Pandas
  • Seaborn
  • OpenCV
  • Scikit Image
  • Simple CV
  • PyTorch
  • Torchvision
  • Pillow
  • Tesseract
  • Pytorchcv
  • Fastai
  • Keras
  • Tensorflow
  • Imutils
  • Albumentations

Our offer provides repositories from following sources:

  • Github repository of book Modern Computer Vision with PyTorch, by author V Kishore Ayyadevara and Yeshwanth Reddy.
  • Github repository of Computer Vision Nanodegree Program , by Udacity.
  • Github repository of book OpenCV 3 Computer Vision with Python Cookbook, by author Aleksandr Rybnikov.
  • Github repository of book Hands-On Computer Vision with TensorFlow 2, by authors Benjamin Planche and Eliot Andres.

The default HTTP port JupyterHub listen to is 8000. You can access the web interface at http://yourip:8000

Use following credentials:
  • Username: guest
  • Password: guest@123
The Jupyter Trademark is registered with the U.S. Patent & Trademark Office.
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