NANO is a set of short-range / low-rez / low-altitude trained YOLOv8-nano detection and segmentation model that detect a few simple things in RGB imagery. They are pretty basic for now.

It's free to use so knock yourself out! Just make sure to follow the Ultralytics terms of service around commercial use (https://github.com/ultralytics/ultralytics) since this uses their code for training.

Output classes:

0 --> 'person'

1 --> 'bike'

2 --> 'light_vehicle'

3 --> 'truck'

4 --> 'bus'

It's not bad... it's a nano model so it's super fast for your edge devices... but is struggles with small objects that are far from the camera. You can run it on a cropped input of your complete frame to get pretty good performance. See the video below.

As you can see: the size of the neural network makes it pretty ineffective at longer ranges, which is expected.

If you're into this project you should probably also check out WALDO: https://github.com/stephansturges/WALDO

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