Problem statement

This International Dance Day, an event management company organized an evening of Indian classical dance performances to celebrate the rich, eloquent, and elegant art of dance. After the event, the company plans to create a microsite to promote and raise awareness among people about these dance forms. However, identifying them from images is a difficult task.

You are appointed as a Machine Learning Engineer for this project. Your task is to build a deep learning model that can help the company classify these images into eight categories of Indian classical dance.

Note

The eight categories of Indian classical dance are as follows:

• Manipuri
• Bharatanatyam
• Odissi
• Kathakali
• Kathak
• Sattriya
• Kuchipudi
• Mohiniyattam

Data description

This data set consists of the following two columns:

The data folder consists of two folders and two .csv files. The details are as follows:

• train: Contains 364 images for 8 classes ['manipuri','bharatanatyam','odissi','kathakali','kathak','sattriya','kuchipudi','mohiniyattam']
• test: Contains 156 images
• train.csv: 364 x 2
• test.csv: 156 x 1

Submission format

You are required to write your predictions in a .csv file and upload it by clicking the Upload File button.

Sample submission

Image,target
96.jpg,manipuri
163.jpg,bharatanatyam
450.jpg,odissi
219.jpg,kathakali
455.jpg,odissi
46.jpg,kathak

Evaluation metric

$score = {100* f1\_score(actual\_values,predicted\_values,average = 'weighted')}$

Note: To avoid any discrepancies in the scoring, ensure all the index column (Image) values in the submitted file match the values in the provided test.csv file.