Raspbeery Pi Zero 2 64-bit OS image

A Raspberry Pi Zero 2 64-bit OS Bullseye with OpenCV, TensorFlow Lite and ncnn

Get a SD-card which will hold the image (min 16 GB).
Download the image RPi_64OS_Zero_2.xz (1.7 GByte!) from our Gdrive site.
Flash the image on the SD-card with the Imager or balenaEtcher.
Insert the SD-card in your Raspberry Pi Zero 2.
Wait a few minutes, while the image will expand to the full size of your SD card.
No WiFi installed. Password: 3.14

You can overclock the Raspberry Pi Zero 2 if your SD-card is not too worn out. 1200 MHz is no problem. Most deep learning examples even work at 1300 MHz.
If you are in need of extra space, you can delete the opencv and the opencv_contrib folder from the SD-card. There are no longer needed since all libraries are placed in the /usr/local directory.
Please note, the Raspberry Pi Zero 2 is a very new device. Lost of (software) updates can be expected in the coming months.
We commit several deep learning benchmarks. Read all about them at our site
As explained on the website, you have only 100 MB of free RAM for your applications left once the 64-bit Bullseye is loaded. To enlarge the amount of RAM to more practical sizes, we use a large swapping space. It will wear your SD card when used intensively. It also slows down the performance, as you can see in the graph below. The 64-bit Ubuntu server was faster, but it doesn't have a graphical desktop. Only a terminal input. And for those unfamiliar with Ubuntu, the desktop is only possible with 4 GB of RAM onboard.

Since everyone has a unique password on their WiFi connection, we have not activated the WiFi.
To enable the wireless LAN follow the next steps:

Left click on the Ethernet symbol.
Click "Turn on wireless LAN", and wait a few seconds. Your RPi will scan for available networks.
Left click again on the Ethernet symbol and choose your network.
Give your key, and wait a couple of seconds to let the RPi establish the connection.
Success!