This is submitted against the HackerEarth Deep learning Contest mentioned below.
Rank 664 Link here
Held online on Mar 21, 2020
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
This data set consists of the following two columns:
Column Name Description Image Name of Image target Category of Image ['manipuri','bharatanatyam','odissi','kathakali','kathak','sattriya','kuchipudi','mohiniyattam']
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
- ./PredictDance.ipynb