With a sufficiently large dataset created, the next step is training a model to run on the DPU. I couldn’t find a full list of supported models for the DPU and its corresponding toolchain, but YOLOv3 is confirmed to be working, so I will be usi...
Project Phases | Dates |
---|---|
Application Period | 17th June 2024 |
Application Deadline | 16th August, 2024 |
Applicants Selected | 26th August, 2024 |
Extra Credit Blogs Due | 17th November, 2024 |
Final Summary Blog Due | 18th November, 2024 |
Winners Announced | November, 2024 |
Prizes Shipped | November, 2024 |
In this competition, challengers are tasked to build an AI-powered, FPGA Machine Learning project. This is an opportunity for you to hone your embedded vision skills, utilizing a development kit based on the AMD Zynq-7000TM SoC devices.
Our official challengers will be announced shortly! Unofficial challengers can still participate by purchasing the kit separately to win great prizes.