Autodistill YOLO-NAS Module

This repository contains the code supporting the YOLO-NAS target model for use with Autodistill.

YOLO-NAS is an object detection model developed by Deci AI.

You can use autodistill to train a YOLO-NAS object detection model on a dataset of labelled images generated by the base models that autodistill supports.

Read the full Autodistill documentation.

Read the YOLO-NAS Autodistill documentation.

Installation

To use the YOLO-NAS target model, you will need to install the following dependency:

pip3 install autodistill-yolonas

Quickstart

from autodistill_yolonas import YOLONAS

target_model = YOLONAS()

# train a model
# specify the directory where your annotations (in YOLO format) are stored
target_model.train("./context_images_labeled", epochs=20)

# run inference on the new model
pred = target_model.predict("./context_images_labeled/train/images/dog-7.jpg", confidence=0.01)

License

The YOLO-NAS model is licensed under the YOLO-NAS License.

🏆 Contributing

We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!