Prepare datasets
It is recommended to symlink the dataset root to $MMSEGMENTATION/data.
If your folder structure is different, you may need to change the corresponding paths in config files.
mmsegmentation
├── mmseg
├── tools
├── configs
├── data
│ ├── cityscapes
│ │ ├── leftImg8bit
│ │ │ ├── train
│ │ │ ├── val
│ │ ├── gtFine
│ │ │ ├── train
│ │ │ ├── val
│ ├── VOCdevkit
│ │ ├── VOC2012
│ │ │ ├── JPEGImages
│ │ │ ├── SegmentationClass
│ │ │ ├── ImageSets
│ │ │ │ ├── Segmentation
│ │ ├── VOC2010
│ │ │ ├── JPEGImages
│ │ │ ├── SegmentationClassContext
│ │ │ ├── ImageSets
│ │ │ │ ├── SegmentationContext
│ │ │ │ │ ├── train.txt
│ │ │ │ │ ├── val.txt
│ │ │ ├── trainval_merged.json
│ │ ├── VOCaug
│ │ │ ├── dataset
│ │ │ │ ├── cls
│ ├── ade
│ │ ├── ADEChallengeData2016
│ │ │ ├── annotations
│ │ │ │ ├── training
│ │ │ │ ├── validation
│ │ │ ├── images
│ │ │ │ ├── training
│ │ │ │ ├── validation
│ ├── CHASE_DB1
│ │ ├── images
│ │ │ ├── training
│ │ │ ├── validation
│ │ ├── annotations
│ │ │ ├── training
│ │ │ ├── validation
│ ├── DRIVE
│ │ ├── images
│ │ │ ├── training
│ │ │ ├── validation
│ │ ├── annotations
│ │ │ ├── training
│ │ │ ├── validation
│ ├── HRF
│ │ ├── images
│ │ │ ├── training
│ │ │ ├── validation
│ │ ├── annotations
│ │ │ ├── training
│ │ │ ├── validation
│ ├── STARE
│ │ ├── images
│ │ │ ├── training
│ │ │ ├── validation
│ │ ├── annotations
│ │ │ ├── training
│ │ │ ├── validation
Cityscapes
The data could be found here after registration.
By convention, **labelTrainIds.png are used for cityscapes training.
We provided a scripts based on cityscapesscripts
to generate **labelTrainIds.png.
# --nproc means 8 process for conversion, which could be omitted as well.
python tools/convert_datasets/cityscapes.py data/cityscapes --nproc 8
Pascal VOC
Pascal VOC 2012 could be downloaded from here. Beside, most recent works on Pascal VOC dataset usually exploit extra augmentation data, which could be found here.
If you would like to use augmented VOC dataset, please run following command to convert augmentation annotations into proper format.
# --nproc means 8 process for conversion, which could be omitted as well.
python tools/convert_datasets/voc_aug.py data/VOCdevkit data/VOCdevkit/VOCaug --nproc 8
Please refer to concat dataset for details about how to concatenate them and train them together.
ADE20K
The training and validation set of ADE20K could be download from this link. We may also download test set from here.
Pascal Context
The training and validation set of Pascal Context could be download from here. You may also download test set from here after registration.
To split the training and validation set from original dataset, you may download trainval_merged.json from here.
If you would like to use Pascal Context dataset, please install Detail and then run the following command to convert annotations into proper format.
python tools/convert_datasets/pascal_context.py data/VOCdevkit data/VOCdevkit/VOC2010/trainval_merged.json
CHASE DB1
The training and validation set of CHASE DB1 could be download from here.
To convert CHASE DB1 dataset to MMSegmentation format, you should run the following command:
python tools/convert_datasets/chase_db1.py /path/to/CHASEDB1.zip
The script will make directory structure automatically.
DRIVE
The training and validation set of DRIVE could be download from here. Before that, you should register an account. Currently '1st_manual' is not provided officially.
To convert DRIVE dataset to MMSegmentation format, you should run the following command:
python tools/convert_datasets/drive.py /path/to/training.zip /path/to/test.zip
The script will make directory structure automatically.
HRF
First, download healthy.zip, glaucoma.zip, diabetic_retinopathy.zip, healthy_manualsegm.zip, glaucoma_manualsegm.zip and diabetic_retinopathy_manualsegm.zip.
To convert HRF dataset to MMSegmentation format, you should run the following command:
python tools/convert_datasets/hrf.py /path/to/healthy.zip /path/to/healthy_manualsegm.zip /path/to/glaucoma.zip /path/to/glaucoma_manualsegm.zip /path/to/diabetic_retinopathy.zip /path/to/diabetic_retinopathy_manualsegm.zip
The script will make directory structure automatically.
STARE
First, download stare-images.tar, labels-ah.tar and labels-vk.tar.
To convert STARE dataset to MMSegmentation format, you should run the following command:
python tools/convert_datasets/stare.py /path/to/stare-images.tar /path/to/labels-ah.tar /path/to/labels-vk.tar
The script will make directory structure automatically.