I’m a novice on ML and mobile development topics, and I’d like to practice and make a basic app which could recognize a class of objects (animals, food, anything with freely available dataset) and returns information of said object.
I see dozens of articles and public repositories on implementing image recognition on mobile, mostly using Tensorflow, and I’ve found a lot of image datasets on Kaggle to train on.
Now I’m confused on how to actually start. I was thinking of using React Native since I’m a bit more experienced with Javascript and using npm packages, but a lot of articles say to just go native for better performance. I don’t know if what I’m doing would be considered “heavy” so I’m a bit confused here.
Any advice is appreciated!
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