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Description
This is a special session dedicated to the top three teams of the 2018 DAC System Design Contest on Low Power Object Detection. The contest has attracted over 120 teams from more than 10 countries/regions. All contestants have received a large training dataset provided by DJI, a company renowned for drone technologies. The dataset contains over 14 GB of images with 100 different objects to detect. A hidden dataset will be used to evaluate the performance of the designs in terms of accuracy and power. Contestants compete in two different categories: FPGA using Xilinx PYNQ-Z1 and GPU using Nvidia TK2, and a monthly ranking will start from January.
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