2.1. Annotating datasets

How to annotate

You can simply annotate using the command-line interface here:

python3 annotate.py -d /Users/jim/desktop/allie/train_dir/males/ -s audio -c male -p classification

After you annotate, you can create a nicely formatted .CSV for machine learning:

python3 create_csv.py -d /Users/jim/desktop/allie/train_dir/males/ -s audio -c male -p classification

Click the .GIF below for a quick tutorial and example.

CLI argument	description	possible options	example
-d	the specified directory full of files that you want to annotate.	any directory path	"/Users/jim/desktop/allie/train_dir/males/"
-s	the file type / type of problem that you are annotating	["audio", "text", "image", "video"]	"audio"
-c	the class name that you are annotating	any string / class name	"male"
-p	the type of problem you are annotating - classification or regression label	["classification", "regression"]	"classification"