I hope this is the right subforum to ask fastai questions not related to the course.
I’d like to read in a dataset for a problem with images as input and multiple float values as output, i.e. a multi-value regression. Those values are contained in a csv file and the matching between the images and those values is done using a common time stamp, i.e. the image “[timestamp].jpg” has corresponding output values float_value_1, float_value_2 etc. listed in the line starting with [timestamp] in the csv file.
How can I use the data block API to create that dataset in FastAI? Can I directly use an ImageList.from_folder(path) or ImageList.from_csv followed by a label_from_df? If yes, how does that work exactly?