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Challenge Overview

Have you heard about the IBM Watson challenge series we organized for St. Valentine Day? Are you interested in Cognitive software solutions but not sure how to start because it looks complex? You are in the right place! Alongside the prized IBM Watson challenges this February, we will organize a series of smaller and easier challenges that will introduce you to different services provided by Watson. There is no a better way to learn a new technology than to try this technology on a simple but real problem!

To make participation in these educational challenges even a bit more interesting, we offer some prizes:
  • $1000 will be given to the member who has completed the most of these educational challenges (six in total). In case there are few such members, this prizes will be equality divided among them;
  • Additionally, ten prizes, $200 each, will be randomly distributed among all members who have completed any of these educational challenges. During this random draw, your chance to get a prize will be proportional to the number of challenges you have completed, e.g. if we draw between just three competitors who have completed 1, 2, and 3 challenges each, their chances to be drawn will be: 16.7%, 33.0%, 50.0%.
If you don't have IBM Cloud Account yet, please register it via this link; also consider to join the renovated Topcoder Cognitive Community, if you have not already.

In this challenge we want you to use Watson’s Visual Recognition service to train a classifier able to detect heart-like objects in the given images.






For the purpose of this challenge, it is enough to create a simple NodeJS script(s) that take input parameters from command-line arguments and local files, and output the results to local files.

Final Submission Guidelines

Submit your solution, including instructions on how to train the classifier and use it, along with a brief verification video, demonstrating it in action.

ELIGIBLE EVENTS:

2018 Topcoder(R) Open

REVIEW STYLE:

Final Review:

Community Review Board

Approval:

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