We have customized the Yolov11 detection network , quantized/compiled and deployed in AMD-Xilinx MPSoC/Kria and Versal FPGA devices. We deployed Yolov11n , which is one of smallest variant of Yolov11 with 2.9M parameter and perform better than the previous Yolo versions.
Here is our published article on “how to make yolov11 deployable in AMD-Xilinx MPSoC/Kria or Versal FPGA & SoCs”: www.hackster.io/LogicTronix/making-yolov11-compatible-with-vitis-ai-3-5-and-dpu-aaad80
Yolov11 performance from Kria KV260 FPGA board:
With multi-threading and multi-processing on Kria/MPSoC or Versal we obtained 30-45 FPS of performance on Yolov11 for any detection task.
Would you like to create custom Yolov11 with custom dataset and deploy on MPSoC/Kria or Versal ?
If then, please fill-up the contact form below,