Context

HackerEarth Deep Learning challenge: Keep babies safe (Sep 11, 07:30 PM IST - Oct 26, 07:30 PM IST)

Content

The dataset consists of 1500 images depicting numerous baby products - baby-proofing kits, toys, gadgets, and the like.

The benefits of practicing this problem by using unsupervised Machine Learning/Deep Learning techniques are as follows:

This challenge encourages you to apply your unsupervised Deep Learning skills to build models that can extract, identify, and tag brand names of various products. This challenge will help you enhance your knowledge of image processing and optical character recognition (OCR), which is one of the advanced fields of Machine Learning and Artificial Intelligence. We challenge you to build a model that will tag images with corresponding brand names of baby/kid products.

Problem statement

Your task, as a Machine Learning expert, is to build a Deep Learning model that will tag each image with the extracted product types and brand names of these products. In case there is no brand name mentioned on a product, the model should tag the image as Unnamed.

Overview

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—Keep babies safe