GMU:Introduction to Microscopy/Denise Nicoau: Difference between revisions

'''1st attempt''' 3000 steps

Here I started from a pre-trained dataset of HQ landscapes and then selected my first microscopy dataset as custom dataset. The first dataset was based on less images - about 1200 - therefore I got as a result a less heterogeneous folder of images.

'''2nd attempt''' 7000 steps

Here I started from a pre-trained dataset of HQ landscapes and then selected my second microscopy dataset as custom one. The second dataset was based on more images - 2300 - therefore I got as a result a more heterogeneous folder of images.

'''3rd attempt''' 700 steps

Here I decided to change the pre-trained dataset with far away data in order to see what could have happened with something that different from the original images. Therefore, I used a pre-trained dataset of HQ faces and then selected the 2nd part of the microscope images I took - about 1100 - as custom dataset.

'''4th attempt''' 8000 steps:

Here I decided to change the pre-trained dataset with closer data in order to see whether I could get an improvement. Therefore, I used the 1st folder generated by the ML model as pre-trained dataset and then selected the complete microscope dataset as custom one.