yolo11n-jetson-orin

YOLOv11n COCO Detection — Jetson Orin Nano FP16

80-class COCO detector. PyTorch checkpoint + ONNX + Jetson Orin Nano TensorRT FP16 engine.

This is a private mirror prepared for the robot_perception_scoring project (github.com/JSBAICenter/Nvidia_Edge_work_arounds, branch orin_yolo). It bundles the original source weights together with an ONNX export and a TensorRT FP16 engine built on a Jetson Orin Nano (8 GB).

Files in this repo

How to load

• pytorch: ultralytics (.pt)
• onnx: onnxruntime.InferenceSession (any CUDA-capable host)
• engine: tensorrt.Runtime.deserialize_cuda_engine (Jetson Orin Nano only)

The .engine artifact is hardware-specific to Jetson Orin Nano (Ampere sm_87, TensorRT 10.3, CUDA 12.6, FP16). It will not load on other Jetson families, other TensorRT versions, or x86 GPUs. Other users should rebuild from the .onnx via python -m tools.build_engines in the linked GitHub repo.

Build environment

• JetPack tegra release: # R36 (release), REVISION: 4.7, GCID: 42132812, BOARD: generic, EABI: aarch64, DATE: Thu Sep 18 22:54:44 UTC 2025
• CUDA: Cuda compilation tools, release 12.6, V12.6.68
• TensorRT: 10.3.0

Attribution

Ultralytics YOLOv11n (https://github.com/ultralytics/ultralytics).

License

AGPL-3.0 per Ultralytics. Commercial use requires a paid Ultralytics license.