This repository provides YOLO26 detection models exported to ONNX format, for use with ONNX Runtime or any ONNX-compatible inference engine.

These models are not my work. YOLO26 was developed by Ultralytics and is distributed under the AGPL-3.0 license. I am sharing these pre-exported ONNX versions as a convenience for those who prefer not to handle the export step themselves.

All models were exported from the official Ultralytics .pt checkpoints using:

Input shape: [1, 3, 640, 640] — normalized RGB, values in [0, 1].

Output shape: [1, 300, 6] — 300 detections × (x1, y1, x2, y2, confidence, class_id), in xyxy format, NMS-free.

If you intend to use these models in a commercial product, you will need a commercial license from Ultralytics. See ultralytics.com/license.

Exporting YOLO26 to ONNX requires a working Python environment with Ultralytics installed. This repo saves that step. If you prefer to export yourself, follow the official Ultralytics export guide.

Converted using Ultralytics tools.