I would ideally be able to go in and select a start time and end time for each event within the longer timeseries and assign it a class, like you do for YOLO training labels, but in 1D. I can assemble and label the dataset, but the labeled segments will be extremely variable in length.
I actually tried this. It didn’t work very well for some reason. Maybe I need to change the way the line plot looked. I kept my x and y axis scaling consistent. I also tried making 2D scalograms using wavelet transforms.
Optoplasm OP t1_j7rkrc3 wrote
Reply to comment by vannak139 in [D] Image object detection, but for 1 dimensional data? by Optoplasm
I would ideally be able to go in and select a start time and end time for each event within the longer timeseries and assign it a class, like you do for YOLO training labels, but in 1D. I can assemble and label the dataset, but the labeled segments will be extremely variable in length.