As per NetModel: Obtain a named neural net—Wolfram Documentation uses a lot of different configurations of neural networks and underlying training datasets.
However, I wonder which is the Neural Net and the Training Data Set being used for ImageIdentify[ ] without any parameters? My best guess is, that it is ImageNet based, but I would be grateful for more precise information.
Thanks in advance, Francis
From the documentation for ImageIdentify under Properties and Relations
The neural net used by ImageIdentify can be accessed using NetModel:
net = NetModel[“Wolfram ImageIdentify Net V1”]
Details here. The training data is not public.
Thanks Rohit, that explains a lot already. Is it right to assume, that Imageidentify was trained on ImageNet (+potentially other ressources)? There seems to be no statement about it. When using Imageidentify for scientific research it would make sense to know these details in order to see how it differentiates e.g. from VGG19 on ImageNet.
Hi Francis,
The Wolfram NN repository page for ImageIdentify says
over 3 million training images and over 4,000 classes of objects (not
publicly available).
The network architecture is available on the NN repository page, you can compare it to VGG19 to see what is different. You could try running the ImageIdentify NN against the ImageNet images and compare performance with VGG19.
You could also try contacting Wolfram Support and asking for more information on the training set.
Thanks Rohit.