Download following datasets:
Download COCO2014 train/val images and annotations:
wget http://images.cocodataset.org/zips/train2014.zip wget http://images.cocodataset.org/zips/val2014.zip wget http://images.cocodataset.org/annotations/annotations_trainval2014.zipDownload COCO2014 train/val annotations from this Google Drive: train2014.zip, val2014.zip. (and locate both train2014/ and val2014/ under annotations/ directory).
Download FSS-1000 images and annotations from this Google Drive.
Download COCO2017 train/val images:
wget http://images.cocodataset.org/zips/train2017.zip wget http://images.cocodataset.org/zips/val2017.zipDownload LVIS-92i extended mask annotations from our Google Drive: lvis.zip.
Download COCO2017 train/val images:
wget http://images.cocodataset.org/zips/train2017.zip wget http://images.cocodataset.org/zips/val2017.zipDownload PACO-Part extended mask annotations from our Google Drive: paco.zip.
Download VOC2010 train/val images:
wget http://roozbehm.info/pascal-parts/trainval.tar.gz wget http://host.robots.ox.ac.uk/pascal/VOC/voc2010/VOCtrainval_03-May-2010.tarDownload Pascal-Part extended mask annotations from our Google Drive: pascal.zip.
Create a directory 'datasets' for the above datasets and appropriately place each dataset to have following directory structure:
datasets/
├── COCO2014/
│ ├── annotations/
│ │ ├── train2014/
│ │ └── val2014/
│ ├── train2014/
│ ├── val2014/
│ └── splits
│ │ ├── trn/
│ │ └── val/
├── FSS-1000/
│ ├── data/
│ │ ├── ab_wheel/
│ │ ├── ...
│ │ └── zucchini/
│ └── splits/
│ │ ├── test.text
│ │ ├── trn.txt
│ │ └── val.txt
├── LVIS/
│ ├── coco/
│ │ ├── train2017/
│ │ └── val2017/
│ ├── lvis_train.pkl
│ └── lvis_val.pkl
├── PACO-Part/
│ ├── coco/
│ │ ├── train2017/
│ │ └── val2017/
│ ├── paco/
│ │ ├── paco_part_train.pkl
│ │ └── paco_part_val.pkl
├── Pascal-Part/
│ ├── VOCdevkit/
│ │ ├── VOC2010/
│ │ │ ├── Annotations_Part_json_merged_part_classes/
│ │ │ ├── JPEGImages/
│ │ │ └── all_obj_part_to_image.json