![Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS | Semantic Scholar Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/9fc4cb377731c1aa9626d117859fa0acf79fa3f7/3-Figure2-1.png)
Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS | Semantic Scholar
GitHub - ubaidsayyed54/Teensy-YOLO: Object recognition on Raspberry Pi, using YOLO\Darknet with NNPack
![yolov4 tiny custom object detection | yolov4 tiny raspberry pi | yolov4 tiny object detection - YouTube yolov4 tiny custom object detection | yolov4 tiny raspberry pi | yolov4 tiny object detection - YouTube](https://i.ytimg.com/vi/jYtc5XTYLP0/hqdefault.jpg)
yolov4 tiny custom object detection | yolov4 tiny raspberry pi | yolov4 tiny object detection - YouTube
GitHub - Qengineering/YoloV4-ncnn-Raspberry-Pi-4: YoloV4 on a bare Raspberry Pi 4 with ncnn framework
![This is an Oak-D-Lite camera that was successfully funded on Kickstarter. With this camera, I was able to run Tiny YOLO v3 on Raspberry Pi Zero 2 W. : r/raspberry_pi This is an Oak-D-Lite camera that was successfully funded on Kickstarter. With this camera, I was able to run Tiny YOLO v3 on Raspberry Pi Zero 2 W. : r/raspberry_pi](https://external-preview.redd.it/wVhMPWcVoQstm-lsTwxkH1ozyGu4vzmX3NkRW2rRnwI.png?format=pjpg&auto=webp&s=282c9a4535b39b2bec2c06fabb3ced6e6c06933e)
This is an Oak-D-Lite camera that was successfully funded on Kickstarter. With this camera, I was able to run Tiny YOLO v3 on Raspberry Pi Zero 2 W. : r/raspberry_pi
![I have raspberry pi 4 and I am using raspberry pi HQ for object detection, but I am getting shape error when using live feed although object is being detected while using I have raspberry pi 4 and I am using raspberry pi HQ for object detection, but I am getting shape error when using live feed although object is being detected while using](https://i.redd.it/y8c2ozj0x0ya1.jpg)
I have raspberry pi 4 and I am using raspberry pi HQ for object detection, but I am getting shape error when using live feed although object is being detected while using
![Implementation of a Low-Cost Real-Time People Counting System on Raspberry Pi Based on Applied Tiny YOLO V3 | Engineering Transactions: A Research Publication of Mahanakorn University of Technology Implementation of a Low-Cost Real-Time People Counting System on Raspberry Pi Based on Applied Tiny YOLO V3 | Engineering Transactions: A Research Publication of Mahanakorn University of Technology](https://ph02.tci-thaijo.org/public/journals/812/cover_issue_16685_en_US.jpg)