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Deci AI: YOLO-NAS

YOLO-NAS Overview

YOLO-NAS is an object detection model developed by Deci AI, released in May 2023 as part of the super-gradients open-source training library. The architecture was generated using Deci's proprietary Neural Architecture Search technology, AutoNAC, which searches for network structures that balance accuracy and inference latency on target hardware. This produced three model sizes (small, medium, and large) featuring quantization-friendly blocks that reduce accuracy loss when converting weights to INT8 precision for deployment on edge devices and mobile hardware.

YOLO-NAS achieves competitive accuracy-latency tradeoffs against YOLOv5, YOLOv6, YOLOv7, and YOLOv8 on the Microsoft COCO benchmark at release, and ships with pretraining on Objects365 in addition to COCO. Note that YOLO-NAS uses a custom license: the surrounding super-gradients framework code is Apache-2.0, but the YOLO-NAS model weights are released under a separate non-commercial license that restricts production and commercial use. Teams evaluating YOLO-NAS for commercial applications should review the LICENSE.YOLONAS.md terms directly. Deci AI was acquired by NVIDIA in April 2024, and the super-gradients repository is no longer actively maintained by the original team. Users can still download and use the released weights, but no further updates or new variants are expected.

YOLO-NAS Interactive Demo

YOLO-NAS Details & Performance

Details

Resources

GitHub

Vision Tasks

Object Detection

Features

Real-Time Vision

Usage

Past 30 Days

Performance

Avg. Latency

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YOLO-NAS License

Custom

License terms and commercial-use guidance for YOLO-NAS.

YOLO-NAS uses an Apache 2.0 license, but the Deci-provided pre-trained weights are under a special license.

If you train with Roboflow Train, commercial usage is allowed because we do not use the Deci weights. If you train your own model outside the Roboflow platform, ensuring adherence to the Deci YOLO-NAS license is your responsibility.

To learn more about model licensing with Roboflow, refer to our Licensing guide.

Custom licenses are model-specific. Always check the per-model License Notes section above and the linked official license text.

License information is provided as a guide and is not legal advice.

Frequently Asked Questions About YOLO-NAS

YOLO-NAS is a pretrained computer vision model for object detection. Unlike a general vision language model, it returns structured predictions for its task rather than free text.

YOLO-NAS comes in 3 sizes: Small (640×640), Medium (640×640), Large (640×640). Smaller variants run faster on constrained hardware; larger ones trade speed for accuracy. You can switch sizes in the demo to compare them on the same image.

Yes. The demo on this page runs YOLO-NAS in the free Roboflow Playground: upload an image and see results in seconds. A free account unlocks unlimited runs.