2 docs tagged with "yolo11"

This tutorial will guide you to benchmark pre-trained YOLO models on Synaptics Astra™ Machina™ boards to evaluate their performance in terms of inference speed. Our SyNAP toolkit supports up to the latest YOLOv11 version, allowing you to easily benchmark and deploy models with minimal effort. You can run pre-trained models from Ultralytics or even your own fine-tuned models. Since Ultralytics has been at the forefront of creating state-of-the-art YOLO models, let’s use their YOLOv8 Nano as an example to showcase how you can benchmark its performance on SL1680's NPU.

This tutorial will guide you on how you can run a custom YOLO11 model on Synaptics Astra™ Machina™. This will guide you on fine-tuning a YOLO11 small model on PPE dataset, Optimizing it for Astra and then running it on the Astra Machina Board.