Dog_Vision-Project
Objective: Is to classify different breeds of dogs.
Solution: I used Deep learning pretrained model named: Mobilenetv2. I think this is the best visulizing project i ever done. On training of 3k images from the entire dataset of 10k images got an accuracy of 80%.
I have used the following functions:
- os.listdir-->It can access all the files in a folder in a string format.
- to_numpy()--> Dataframe column to a list of numpy array()
- next i turned every label into boolean array
- numpy argmax-->used to find the index of max value in an array