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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. HackerEarth’s Deep Learning challenge is designed to help you improve your Deep Learning skills by competing and learning from fellow participants.

Here’s presenting 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 right from your browser. Learn Python, R, SQL, Machine Learning, statistics, the command line, Git, Spark, Data Engineering, and much more. Our carefully-crafted course paths will provide you with skills that you need to work in Data Science even if you have no background in programming or statistics.

Learn more about Deep Learning on Dataquest.

The prizes for the challenge are as follows

  • 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 flowers 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, they  lack the 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 to build models that can classify and differentiate between different species of flower. 

In this dataset, we will provide you with 18,540  images of 102 different species of flowers. 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.

With this challenge, you can

  • Learn and use the latest open-source libraries and packages

  • Work on live problems because it excites you more than learning from books and tutorials

  • Build your fan following in our community

  • And 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)



  • In order to claim your prizes, your HackerEarth profile must be completed more than 50%

  • 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


There are great prizes to be won

1st Prize

USD 350 

2nd Prize

USD 250 

3rd Prize

USD 100 

2 Free courses from Dataquest


  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...


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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