Note: This hackathon is only open for Intel Student Ambassadors and Innovators.
This hackathon is organized in collaboration with Intel® open only for Software Innovator Program and Student Ambassador Program participants from Intel®.
The Intel® Software Innovator program supports innovative, independent developers who display an ability to create and demonstrate forward-looking projects by providing them with speaking and demonstration opportunities at industry events and developer gatherings. Through their expertise and innovation with cutting-edge technology, Intel® Software Innovators demonstrate a spirit of ingenuity, experimentation, and forward thinking that inspires the greater developer community.
Autonomous driving is the future of transportation. We need to make it safer for humans by harnessing the ever-advancing deep learning and newer machine learning technologies. The OpenVINO™ toolkit is one of the leading toolkits in the world allowing users to leverage the toolkit to build world-class deep learning models. The hackathon is powered by the Intel® Distribution of OpenVINO™ toolkit. Participants will exclusively use Intel OpenVINO™ toolkit to solve the problem.
Resources to help you out: https://software.intel.com/en-us/ai
The dataset used in this hackathon is the IDD or India Driving Dataset (IDD Detection), the result of a collective collaboration between the International Institute of Information Technology Hyderabad and Intel®. With autonomous vehicles aiming to take on the roads, IDD provides data specific for the Indian roads and driving conditions. We also thank IIIT Hyderabad and Intel® for allowing us to use this data set.
In this hackathon, the contestants will develop a model to identify large automobiles (Trucks) and pedestrians on the road.
After, training the model, contestants will predict the presence of a large automobile or person or both in the given test samples.
NOTE: This hackathon is only open for Intel Student Ambassadors and Innovators.
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