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!