How I Deployed YOLO11n to Raspberry Pi 3 with NCNN — and Why 8.5s Is the Right Number
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The training is the part everyone writes about. Epochs, batch size, mAP50 on the validation set — there are tutorials for all of it. I covered the dataset sourcing and training setup in an earlier piece , and the model hit mAP50 0.844 on a held-out test set of 277 images. The interesting problem st…
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- 2026-09-07 10:53 · DEV Community — Machine Learning
How I Deployed YOLO11n to Raspberry Pi 3 with NCNN — and Why 8.5s Is the Right Number