Thanks and sorry about the trouble. So we had actually held off on implementing age-gender support in Gen1 in lieu of supporting a more robust/flexible implementation in the Gen2 pipeline builder.
As for more general multi-stage support like this, we recommend our Gen2 pipeline builder. So it is already possible to run such multi-stage for face detection and then age/gender from that.
An example of a more complicated neural flow than this, is here:
So we have on our roadmap to implement an example with age-gender in Gen2, which would actually include multiple features in one that will do face detection and allows running the following as secondary networks run on the ROI of the face in parallel.
- Age + Gender recognition
- Facial Expression estimation (incorrectly called ‘emotion’ in their doc)
- Facial Landmarks
But in the meantime, it is possible to use the Gen2 pipeline builder to make this flow, if you'd like. Leveraging the Gaze example above as a reference, and these more basis-function like examples below as other references.
And if this flow is pressing we can prioritize making the example above - just let us know (i.e. is this a curiosity thing? Or do you need it for a pressing business need?). If the latter, and if you'd like to do it to learn the Gen2 system we are more than happy to help. Either way, please feel free to join our Discord Community to discuss real-ish time: