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Participate in the FPGA Image Classification Track at CVPR 2020

Xilinx Employee
Xilinx Employee
0 0 2,804

This year, Xilinx is excited to sponsor the FPGA image classification track as part of the Low-Power Computer Vision Challenge 2020 CVPR Workshop. We would like you to participate and experience the ease of deploying and developing inference models using Vitis-AI + PYNQ (no FPGA knowledge is needed). The top 3 entries will get $1500, $1000, $500, and the top 20 team submissions get $270! Bring your innovation in model optimization to image classification algorithms running on the Xilinx platforms. Get started and register today!


Additional Information:

Visit the LPCV + CVPR page for contest details 

Join the technical support discussion page on slack

DPU-PYNQ for ZU+ and RFSoC Devices