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ABOUT CHALLENGE

Deep learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Deep Learning is a science that determines patterns in data. These patterns provide deeper meaning to problems and help you to first understand problems better and then solve the same with elegance. This challenge is designed to help you improve your deep learning skills by competing and learning from fellow participants.

Here is the new HackerEarth’s Deep Learning challenge - Garden Nerd: Flower Recognition in association with Dataquest.

Dataquest is an online education platform that teaches data science and programming skills from right in your browser. Learn Python, R, SQL, machine learning, statistics, the command line, Git, Spark, data engineering, and much more in our carefully-crafted course paths, which give you the skills you need to work in data science, even if you have no background in programming or statistics. Learn more about Deep Learning on Dataquest.

Prizes

  • 1st Prize - 350 USD +  6 months of free Premium subscription to Dataquest Courses

  • 2nd Prize - 250 USD + 6 months of free Premium subscription to Dataquest Courses

  • 3rd Prize - 100 USD

Problem statement

For several years, flower recognition in the wildlife has been an area of great interest among biologists. Recognition of flower in environments such as forests and mountains is necessary to know whether they are extinct or not. While search engines assist in searching for a flower, it lacks robustness because of the intra-class variation among millions of flower species.

The application of deep learning is rapidly growing in the field of computer vision and is helping in building powerful classification and identification models. We can leverage this power of deep learning to build models that can classify and differentiate between different species of flower as well. In this dataset, we provide 18,540  images of 102 different species of animals. In the next 2 months, we challenge you to build models such that given an image, the model will predict the probability of every flower class.

  • To learn and use the latest open-source libraries and packages
  • To learn by working on live problems because it excites you more than learning from books and tutorials!
  • To build your fan following in our community
  • Of course, grab cash prizes

Who should participate?

  • Working professionals
  • Data Science/Machine Learning enthusiasts
  • College students (if you understand the basics of predictive modeling)

Tutorials

Note

  • In order to be able to claim your prizes, your HackerEarth profile must be completed more than 50%.
  • Only the participants currently residing in the US are eligible for the prize money. 
  • The prizes will be disbursed in the first week of the following month.
  • Ratings of the particular challenge will be updated in the user profile within 5 days after the challenge is over

PRIZES

There are great prizes to be won

1st Prize

USD 350 +  6 months of free Premium subscription to Dataquest Courses 

2nd Prize

USD 250 +  6 months of free Premium subscription to Dataquest Courses 

3rd Prize

USD 100 

GUIDELINES

  1. Your output will be evaluated only for 50% of the test data while the contest is running. Once the contest is over, output for the remaining 50% of the data will be evalu...
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FAQs

How is the leaderboard rank calculated?

Your rank will be calculated in real-time by evaluating 50% of your output while the contest is live. Once the contest has ended, y...

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