data_en.md

Data

---

Introducation

This document introduces the preparation of ImageNet1k and flowers102

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"
# the following the content of train_list.txt
train/n01440764/n01440764_10026.JPEG 0
...

# the following the content of val_list.txt
val/ILSVRC2012_val_00000001.JPEG 65
...

ImageNet1k

After downloading data, please organize the data dir as below

PaddleClas/dataset/ILSVRC2012/
|_ 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