In our project, we plan to use the YOLO model for real-time object detection, trained with the COCO dataset. Both the dataset and the class information will be stored locally on the Raspberry Pi. Our main concern is whether the Raspberry Pi has sufficient processing power to handle the real-time demands of running the YOLO model with this dataset, or if we would need to explore optimizations or additional hardware.
what is the best trained model -->yolo that fit with raspberry pi for object detection and distance
what is the best trained model -->yolo that fit with raspberry pi for object detection and distance
Statistics: Posted by Shahaad — Sat Oct 05, 2024 12:48 am