# CES117V - Final Project — Data

来源：https://www.kaggle.com/competitions/ces117v/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The 'train' dataset contains all images in their respective folders. Each folder contains images related to a specific target class. The 'test' set 1000 randomly numbered images. Your goal is to accurately predict the likelihood that the image belongs a certain class using deep learning, i.e. Normal = 0, COVID = 1, Lung_Opacity = 2.

### File and folder descriptions

    train - the training image folder
    test - the test image folder
    submission.csv - a sample submission file in the correct format

The order of the rows in your submission does not matter, but the names of the filename's must be correct. The column named "target" is your prediction.