Not really. If you do decide to try this then there will be a lag between recognition.
I presume what you are trying to do is to search within multiple datasets in order to increase the number of targets. This is what the new Cloud REco is for: https://ar.qualcomm.at/content/vuforia-web-services
Alternatively you could just try putting all your images in one dataset. Even though there is a notional limit of 80, some developers have had success with hundreds of images without any real impact in performance.
Thank you for the info, and yes i need to put about 250 targets , theyre small images so they dont take much space , i will try to put them all in one dataset ill post if it works.
Hi Guillo
Not really. If you do decide to try this then there will be a lag between recognition.
I presume what you are trying to do is to search within multiple datasets in order to increase the number of targets. This is what the new Cloud REco is for: https://ar.qualcomm.at/content/vuforia-web-services
Alternatively you could just try putting all your images in one dataset. Even though there is a notional limit of 80, some developers have had success with hundreds of images without any real impact in performance.
N