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HackerEarth DL challenge: Keep Babies safe
Aesthetics
|...
许可协议: CC-BY-SA 4.0

Overview

Problem statement

A renowned hypermarket, that has multiple stores, is all set to grow its business. As a part of its expansion, the owner plans to introduce an exclusive section for newborns and toddlers. To help him expand its business, teams across all stores have collated numerous images that consist of products and goods purchased for children.

You are a Machine Learning expert. Your task is to:

  • Identify the product type [toys,consumer_products]

  • Extract and tag brand names of these products from each image. In case if no brand names are mentioned, tag it as ‘Unnamed’.

The extracted brand names must be represented in the format provided in sample submission.

Data

The dataset consists of one folder and .csv file named images and test.csv respectively.
There are 1131 images in the images folder.
The test.csv file contains the name of the images for testing.

Note: Only test data is provided.

  • Image - Name of the image
  • Class_of_image - Class of image (target column) [toys,consumer_products]
  • Brand_name - Name of the brand (target column)

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.

To know more: https://www.hackerearth.com/challenges/competitive/hackerearth-deep-learning-challenge-baby-safety/

数据概要
数据格式
image,
数据量
1.133K
文件大小
109.24MB
发布方
Manvendra Singh
| 数据量 1.133K | 大小 109.24MB
HackerEarth DL challenge: Keep Babies safe
Aesthetics
许可协议: CC-BY-SA 4.0

Overview

Problem statement

A renowned hypermarket, that has multiple stores, is all set to grow its business. As a part of its expansion, the owner plans to introduce an exclusive section for newborns and toddlers. To help him expand its business, teams across all stores have collated numerous images that consist of products and goods purchased for children.

You are a Machine Learning expert. Your task is to:

  • Identify the product type [toys,consumer_products]

  • Extract and tag brand names of these products from each image. In case if no brand names are mentioned, tag it as ‘Unnamed’.

The extracted brand names must be represented in the format provided in sample submission.

Data

The dataset consists of one folder and .csv file named images and test.csv respectively.
There are 1131 images in the images folder.
The test.csv file contains the name of the images for testing.

Note: Only test data is provided.

  • Image - Name of the image
  • Class_of_image - Class of image (target column) [toys,consumer_products]
  • Brand_name - Name of the brand (target column)

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.

To know more: https://www.hackerearth.com/challenges/competitive/hackerearth-deep-learning-challenge-baby-safety/

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