For my project, I would like to compare my Akida Fomo output with YoloV5. When select the YoloV5 model in the object detection section, there is an error when the model starts to train. Is there a reason for this?
Also, is it possible to change the value for probability so that only items with confidence >80 percent show just using the Edge Impulse web based platform?
Project ID: 215205 version 4
**Context/Use Case" Working on model for uni assignment
What error are you seeing when you try to train YoloV5?
The issue is that YOLOv5 architecture is not compatible with Akida.
The error is not very clear, but as you selected the
Object Detection (Images) - BrainChip Akida™ block in the
Create Impulse, you should choose the model that is compatible with Akida.
We are working on a fix in the Studio to filter out custom learn blocks not compatible with Akida (or other accelerators), but it’s a part of bigger improvements in the workflow.
Thanks heaps for your assistance here.
Hi there Mateusz
I am still working on my university project. I am not having very good results with training to date. I have uploaded and labelled 2 sets of 100 images (Cracks and Spalls), hoping that I can detect both using object detection.
My project needs to be finalised in about 2 weeks. I see there is a Trial offer for the better version of Edge Impulse. I was wondering if I started the trial, at the end, am I still able to access all of my results and run my final model?
As I see, you have access to the Enterprise functions as your project is under a University organization that has the Enterprise tier enabled.
Regarding your issue with model performance, I think @louis may be a better person to assist with that.