Wrong number of CSV columns for AUTOML vision and no documentation on the correct format
I'm trying to use AutoML to train some images I've annotated. It complains that I have the wrong number of columns in the CSV I wrote (saying it should be 11 rather than 9). However, all the examples I see of the CSV are 9 columns. I feel like the format has changed and they didn't update the documentation. Thanks for your help in advance.
Details:
This is their example from their document:
[set,]image_path[,label,x1,y1,,,x2,y2]
TRAIN,gs://My_Bucket/sample1.jpg,cat,0.125,0.25,,,0.375,0.5
VALIDATE,gs://My_Bucket/sample1.jpg,cat,0.4,0.3,,,0.55,0.55
TEST,gs://My_Bucket/sample1.jpg,dog,0.5,0.675,,,0.75,0.875
Here is a line from my test data:
TRAIN,gs://mytensorflowdata/CanVideo 50.jpg,sodacan,0.378125,0.10138888888888889,,,0.61796875,0.8708333333333333
I also tried without the bounding boxes like:
TRAIN,gs://mytensorflowdata/CanVideo 50.jpg,sodacan
Here is the error message AutoML gives me:
Error: gs://mytensorflowdata/labels.csv line 13: Expected 11 columns, but found 3 columns only.