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Data

1. Introducation

This document introduces the preparation of ImageNet1k and flowers102

2. Dataset

Dataset	train dataset size	valid dataset size	category
flowers102	1k	6k	102
ImageNet1k	1.2M	50k	1000

Data format

Please follow the steps mentioned below to organize data, include train_list.txt and val_list.txt

# delimiter: "space"

ILSVRC2012_val_00000001.JPEG 65
...

ImageNet1k

After downloading data, please organize the data dir as below

PaddleClas/dataset/imagenet/
|_ train/
|  |_ n01440764
|  |  |_ n01440764_10026.JPEG
|  |  |_ ...
|  |_ ...
|  |
|  |_ n15075141
|     |_ ...
|     |_ n15075141_9993.JPEG
|_ val/
|  |_ ILSVRC2012_val_00000001.JPEG
|  |_ ...
|  |_ ILSVRC2012_val_00050000.JPEG
|_ train_list.txt
|_ val_list.txt

Flowers102 Dataset

Download Data then decompress:

jpg/
setid.mat
imagelabels.mat

Please put all the files under PaddleClas/dataset/flowers102

generate generate_flowers102_list.py and train_list.txt和val_list.txt

python generate_flowers102_list.py jpg train > train_list.txt
python generate_flowers102_list.py jpg valid > val_list.txt

Please organize data dir as below

PaddleClas/dataset/flowers102/
|_ jpg/
|  |_ image_03601.jpg
|  |_ ...
|  |_ image_02355.jpg
|_ train_list.txt
|_ val_list.txt

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