Ended on 6th Jun'22 03:30 PM (Coordinated Universal Time)
Data Sprint 76 - Human Activity Recognition
Identify the class to which each human activity belongs to
53
Easy
Challenge Starts
27 May 03:30 pm
Registration Ends
06 Jun 03:30 pm
Challenge Ends
06 Jun 03:30 pm
SPONSORS:
Data Sprint 76 is sponsored by Ajai karthick, Mathias Rackson and Ankush. We are very grateful for their generous donation in making data science education accessible to everyone. If our work has positively impacted you or you believe it can, kindly consider supporting us - https://dphi.tech/contribute
PROBLEM STATEMENT:
Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applications, and therefore has been attracting increasing attention in the field of computer vision. Human actions can be represented using various data modalities, such as RGB, skeleton, depth, infrared, point cloud, event stream, audio, acceleration, radar, and WiFi signal, which encode different sources of useful yet distinct information and have various advantages depending on the application scenarios.
Consequently, lots of existing works have attempted to investigate different types of approaches for HAR using various modalities.
Your Task is to build an Image Classification Model using CNN that classifies to which class of activity a human is performing.