Are there any related code on restricting or rejecting users to upload oversized dataset? The code of models that you built is quite clear. Both of the classification and segmentation model is complex and elegant. However, you will always use these two model to train them, is there any error handling if the user uploads a really large dataset? This could lead to a server crash.
Are there any related code on restricting or rejecting users to upload oversized dataset? The code of models that you built is quite clear. Both of the classification and segmentation model is complex and elegant. However, you will always use these two model to train them, is there any error handling if the user uploads a really large dataset? This could lead to a server crash.