Hi Team,
We are working on object classification inside a room, classify human and non-human objects. As part of this I used Indoor flase detection demo and run in a room which is having a chair and human. But I haven't seen that the classification is not consistent. I observed the following,
1. Most of the time it was not classifying and giving BLACK colour bubbles in GUI.
2. Its very rare that detect both the objects and classified as human and non-human objects. For human It was showing GREEN colour and for chair it was showing GERY.
3. In some cases it was showing both the objects as GREY in colour.
So could you please guide us how the classification is done. If possible direct us to the code to find out the same.
Thanks
Arun