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Preparing Few-Shot Segmentation Datasets

Download following datasets:

1. COCO-20i

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.zip

2. Pascal-5i

Download PASCAL VOC 2012 devkit (train/val data)::

wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar

Download PASCAL VOC2012 SDS extended mask annotations from Google Drive

3. FSS-1000

Download FSS-1000 images and annotations from this Google Drive.

4. LVIS-92i

Download COCO2017 train/val images:

wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip

Download LVIS-92i extended mask annotations from Google Drive: lvis.zip.

5. PACO-Part

Download COCO2017 train/val images:

wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip

Download PACO-Part extended mask annotations from Google Drive: paco.zip.

6. Pascal-Part

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.tar

Download Pascal-Part extended mask annotations from Google Drive: pascal.zip.

7. Deepglobe

Download Deepglobe from Deepglobe, or download preprocess data from Google Drive.

8. ISIC2018

Download ISIC from ISIC Challenge 2018.

9. iSAID-5i

Download iSAID-5i from Google Drive.

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/
├── VOC2012/
│   ├── Annotations/
│   ├── ImageSets/
│   ├── ...
│   └── SegmentationClassAug/
├── 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
├── Deepglobe/  
│   ├── 1/
│   │   ├── test/
│   │   │   ├── groundtruth/
│   │   │   └── origin/
│   ├── 2/
│   ├── ...
│   └── 6/
├── ISIC/  
│   ├── ISIC2018_Task1_Training_GroundTruth/
│   └── ISIC2018_Task1-2_Training_Input/
└── remote_sensing/  
    ├── iSAID_patches/
    │   ├── train/
    │   │   ├── images/
    │   │   ├── ...
    │   │   └── train_list/
    │   ├── val/
    │   │   ├── images/
    │   │   ├── ...
    │   │   └── val_list/
    └── label.xslx