Viewing a single comment thread. View all comments

fnordstar t1_jdbtg4x wrote

Reply to comment by GaryS2000 in [D] Simple Questions Thread by AutoModerator

That is an image dataset. What are you even training on if you're not using the images?

1

GaryS2000 t1_jdc74v5 wrote

Like I said the .csv data. Its the same data as the image dataset with one of thr columns containing the pixel values of the images, meaning it can reconstruct the image from the file.

1

fnordstar t1_jdcakhx wrote

Ohh ok wouldn't have thought someone would put pjxel data in a CSV.

1

GaryS2000 t1_jdcd6xq wrote

Yeah the csv file has three columns separated into emotion, pixels, and usage. Emotion corresponds to the labels whereas usage corresponds to training/test/val, and the pixels column is made up of all of the pixel values used to make the image. It seems to produce much quicker training times than using the images, which is my main reason for wanting to use it. Training on .csv takes around 10 seconds per epoch whereas images take 10 minutes or so.

They both produce the same result, a trained model which can make predictions on facial expressions, however its felt weird throughout the entire process that the model trains so quick, you know? I've been led to believe that machine learning is an extremely time intensive process but for me it hasn't took long at all, so I was wondering if there's some fundamental error with using the .csv data instead of the images. Hopefully it should be fine though, I don't see the issue myself if it produces the same result.

1