This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
19
Participants
1
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Welcome to the AITXDuality AI Space Station Hackathon! Ready to push the boundaries of Computer Vision in zero gravity? In this competition, you will learn to master YOLOv8 and Synthetic Data training using Duality AI's cutting-edge Falcon Digital Twin platform. Your mission is to train a robust AI model capable of securing a Space Station. You will work with a highly realistic, simulated dataset to detect critical safety equipment inside the station. Your job is to engineer the best training pipeline, optimize for accuracy (mAP), and handle unique space-based challenges like harsh lighting, zero-G camera angles, and floating occlusions. Key note: To confirm your participation, please submit a PKR 1000 refundable deposit. This deposit is required for approval and will be fully refunded after the hackathon upon attendance. Check email for details upon registration.