Data-310

View the Project on GitHub lydiadanas/Data-310

  1. CNN

    a. beans dataset

    1. results img_15.png img_18.png
    2. accuracy

      The highest accuracy the beans dataset went to was nearly 80%, which is not bad.

    b. eurosat dataset

    1. results img_16.png img_19.png
    2. accuracy

      The highest accuracy the eurosat dataset went to was also about 80%. Both datasets had roughly the same amount of error as well.

  2. Image augmentation

    a. Did your model performance improve?

    No, in fact for both datasets my model’s performance greatly decreased.

    b. How many epochs were you able to run and how much time did it take?

    I was able to run 10 epochs for the beans dataset, which only took about 2 minutes - the length of one epoch before augmentation. However, the eurosat dataset took 6 minutes for each epoch, so I ended up only doing 3.

    c. Results img_22.png img_24.png img_27.png img_29.png d. Accuracy img_23.png img_25.png img_28.png img_30.png