The datasets we use are listed below:
As the images in the VAW dataset come from the Visual Genome dataset, we only need three picture folders. The file structure looks like below:
$DATASET/
|–– hake/
|–– swig/
|–– vg/
- Create a folder named
hake/
under$DATASET/
. - Create
hake_images_20190730/
,hake_images_20200614/
,hcvrd/
,hico_20160224_det/
,openimages/
,pic/
andvcoco/
underhake/
. - Download the images from the dataset link.
- Put the images in the corresponding folder.
The folder tree looks like:
hake/
├── hake_images_20190730
│ └── xxx.jpg
├── hake_images_20200614
│ └── xxx.jpg
├── hcvrd
│ └── xxx.jpg
├── hico_20160224_det
│ └── images
│ ├── test2015
│ │ └── xxx.jpg
│ └── train2015
│ └── xxx.jpg
├── openimages
│ └── xxx.jpg
├── pic
│ └── xxx.jpg
└── vcoco
├── train2014
| └── xxx.jpg
└── val2014
└── xxx.jpg
- Create a folder named
swig/
under$DATASET/
. - Download the images from the dataset link.
The folder tree looks like:
swig/
└── xxx.jpg
- Create a folder named
vg/
under$DATASET/
. - Create
VG_100K/
andVG_100K_2/
undervg/
. - Download the images from the part1 and part2.
- Put the images in the corresponding folder.
The folder tree looks like:
vg/
|–– VG_100K/
└── xxx.jpg
|–– VG_100K_2/
└── xxx.jpg