Thanks for your kind words, and I am glad you found the models useful. You are right to remark about the yolo26-nano performance. I will be starting shortly trying to distill a yolov8s from yolo26-x, in the hopes of further improving the performance.
Also, thanks for your licensing remarks, I will update the licenses of the model cards to AGPL to follow the upstream model licenses.
If you can give me your email id, I can add you to discord or some other form of communication channel.
Aag the fire!
I am glad to know you are interested in this work. I am going to make an initial plan and share it with you ASAP. We can collaborate on GitHub. It will be nice to have some help on this as I myself dont have a lot of time often.
Thanks!
Hi Masud,
Thank you for your kind words. I will shortly start working on DOTA Aerial Detection Benchmark to evaluate the YOLO variants on this aerial dataset. We can collaborate on the development part if you want (although I might be able to work on this only on the weekends).
Hi,
So what I understood from the paper is that pedestrian is classified as a type of person without any accessory like a bike or a scooter etc. Person/people according to the dataset are the ones on the roads on sidewalks on some kind of transport vehicles. Even though the authors did not specify this distinction, its what I understood.
