Difficulties of the project
Very large database. It is necessary to provide a quick search for it.
We use the SCANN index and optimize the neural network.
There is a chance that the model will learn on popular categories of goods and the quality of work will be lower for rare ones.
We use data augmentation: we increase the frequency of rare images in the process of training the model.