Multiple models using the same training data

[iskode (Ismaël Koné)]

Hi Vishal,
what do you mean by as “as they come”?:

1. classifying another set of images(other datasets), or

2. classifying incrementally single image one after another.

For the 1st, there is a method set_data that receive a data object like the one you wrote on you 1st post. So you must just set the test_name the folder containing images to classify.
For the 2nd, you can refer to this post:

Predicting on single image using Fastai Model

Hi! Quick q. I went back to Lesson 1 and wanted to get the dog/cat predictions on a new image using the model we built (learn, from the 12th notebook code block). Let’s say I want to predict the score for this one I found on the internet. !wget http://d2trtkcohkrm90.cloudfront.net/images/emoji/apple/ios-10/256/dog.png dog.png img = plt.imread('dog.png') plt.imshow(img); [12 PM] I wasn’t totally sure how to predict on a new image but I played around with the code and tried out: learn.predict…

Hopefully it helps.
Let us know if you get some troubles.