## **Objective**
The network predicts which class a given image corresponds to. (0~399)

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## **Performance evaluation indicator**
The evaluation indicator is the accuracy of comparing the predicted RMSE score by the model to the actual label.

## Submission Format

Submitted files must be submitted as .csv files, and the results for test images must be listed in order.
The .csv file has a total of 2 columns.

Id: ID of the image
Category: Label from 0 to 399 (String)


The file should contain a header and have the following format:
```
AuthorId,DuplicateAuthorIds
Id, Category
0, 1
1, 377
2, 123
3, 43
Etc.