# Flower Classification using Deep Neural Networks — Data

来源：https://www.kaggle.com/competitions/ee596-flower-classification-deep-neural-networks/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

Training set for flower classification. 5 categories: daisy, dandelion, rose, sunflower, tulip and 3452 training images, 863 test images, 4315 images in total. For training files, Each filename.jpg is the Id for the image, and label is the name of corresponding flower category. For testing files in flower_test_new_folders, your task is to predict the label of every images. For kaggle test file submission, you need to submit a csv file consist of 2 columns (Id, Category) for your test set image classification.