That's great, we should build an index repository of different objects so we can create training sets.
This could be a good use for Solr. If we have a repository of images with metadata, we can index those, so we can run searches to return training sets both positive & negative examples....
Also, for reference , we can use the ImageNet dataset. We should be able to borg something like this in. I believe the data is freely available.
Wow .. I knew this was going to happen (Image Classifier Databases Springing Up) .. I know Amazon has been collecting data for this purpose for a while..
That's very interesting !
I wonder if your Bananna Meta data is an OpenCV Haar classifier in JSON form (nice they moved format from xml !) :)
Happy Monkeys know where all the Banana's are!
That's great, we should build an index repository of different objects so we can create training sets.
This could be a good use for Solr. If we have a repository of images with metadata, we can index those, so we can run searches to return training sets both positive & negative examples....
Also, for reference , we can use the ImageNet dataset. We should be able to borg something like this in. I believe the data is freely available.
http://www.image-net.org/challenges/LSVRC/2014/
Banana Metadata!
http://www.image-net.org/challenges/LSVRC/2014/ui/api/bbox_api.php?type…
Wow .. I knew this was going
Wow .. I knew this was going to happen (Image Classifier Databases Springing Up) .. I know Amazon has been collecting data for this purpose for a while..
That's very interesting !
I wonder if your Bananna Meta data is an OpenCV Haar classifier in JSON form (nice they moved format from xml !) :)