Senior Applied Scientist, Amazon
Director of Business Intelligence , CouponFollow
Data Scientist, SwissRe
Machine Learning Manager, Adobe
Image Processing Project -Train a model for colorization to make grayscale images colorful using convolutional autoencoders.
Get started today
Request for free demo with us.
Schedule 60-minute live interactive 1-to-1 video sessions with experts.
Unlimited number of sessions with no extra charges. Yes, unlimited!
Give us 72 hours prior notice with a problem statement so we can match you to the right expert.
Schedule recurring sessions, once a week or bi-weekly, or monthly.
If you find a favorite expert, schedule all future sessions with them.
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
250+ end-to-end project solutions
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
15 new projects added every month
New projects every month to help you stay updated in the latest tools and tactics.
500,000 lines of code
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
600+ hours of videos
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
Cloud Lab Workspace
New projects every month to help you stay updated in the latest tools and tactics.
Unlimited 1:1 sessions
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
Technical Support
Chat with our technical experts to solve any issues you face while building your projects.
7 Days risk-free trial
We offer an unconditional 7-day money-back guarantee. Use the product for 7 days and if you don't like it we will make a 100% full refund. No terms or conditions.
Payment Options
0% interest monthly payment schemes available for all countries.
Business Objective
Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image that represents the semantic colors and tones of the input. In image colorization, a color is assigned to each pixel of a target grayscale image.
Image colorization technique is helpful for many applications such as Medical Microscope, Medical Imagery, Denoising and recreating old Images, Night Vision Camera, etc.
In our use case, we will be using a fully automated data-driven technique called autoencoders for image colorization. Autoencoders are a specific type of feedforward neural network where the input is the same as the output. The VGG16 model will be used as a feature extractor. VGG16 is a classic neural network used as a backbone for many computer vision tasks
This project aims to build a convolutional neural network that will best convert the grayscale images to RGB images.
Data Description
Here, we will be using a landscape image dataset which consists of approximately,
Aim
To build a model using keras, that can best convert a grayscale image to a coloured image.
Tech stack
Approach
Recommended
Projects
Data Engineer’s Guide to 6 Essential Snowflake Data Types
From strings to timestamps, six key snowflake datatypes a data engineer must know for optimized analytics and storage | ProjectPro
Data Science vs Data Engineering:Choosing Your Career Path
Data Science vs Data Engineering-Learn key differences, and career tips to seamlessly transition from data engineer to data scientist with ProjectPro
Best MLOps Certifications To Boost Your Career In 2024
Chart your course to success with our ultimate MLOps certification guide. Explore the best options and pave the way for a thriving MLOps career. | ProjectPro
Get a free demo