Abstract:
Image processing is remarkable algorithm for detecting a anything from image data.
There are some models in Image processing. Such as CNN, ResNet50, EfficientNetB3,
VGG19 etc. There are many existing works used by CNN. And the accuracy of those are
also high. So CNN is recognized as most useful method in image processing. So in this
paper ResNet50, EfficientNetB3 and VGG19 are introduced. Those methods are also
useful and bring more accuracy while performing image processing. In ResNet50 and
VGG 19, there are 50 and 19 methods respectively. So those method can show a better
possibility in future for image processing. Skin Disease is a now days, a concern thing
which can be more dangerous if there is no proper detection path. For detecting perfectly
image proceeding is the key. And those proposed methods can be crucial if those
methods works perfectly. So in this paper ResNet50, EfficientNetB3 and VGG is
introduced and will work through it. In future, Image processing will reach a higher level.
So for this project it can be turn over to AI technology, so that the measurement would be
more dynamic and accurate. So this work will recognize as a beginning of the work
which will be pathway of future works.
