Referring Expression Datasets API
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This API is able to load all 4 referring expression datasets, i.e., RefClef, RefCOCO, RefCOCO+ and RefCOCOg. They are with different train/val/test split by UNC, Google and UC Berkeley respectively. We provide all kinds of splits here.

Mountain View


If you used the following three datasets RefClef, RefCOCO and RefCOCO+ that were collected by UNC, please consider cite our EMNLP2014 paper; if you want to compare with our recent results, please check our ECCV2016 paper.

Kazemzadeh, Sahar, et al. "ReferItGame: Referring to Objects in Photographs of Natural Scenes." EMNLP 2014.
Yu, Licheng, et al. "Modeling Context in Referring Expressions." ECCV 2016.


Run "make" before using the code. It will generate _mask.c and in external/ folder. These mask-related codes are copied from mscoco API.


Download the cleaned data and extract them into "data" folder

Prepare Images:

Besides, add "mscoco" into the data/images folder, which can be from mscoco COCO's images are used for RefCOCO, RefCOCO+ and refCOCOg. For RefCLEF, please add saiapr_tc-12 into data/images folder. We extracted the related 19997 images to our cleaned RefCLEF dataset, which is a subset of the original imageCLEF. Download the subset and unzip it to data/images/saiapr_tc-12.

How to use

The "" is able to load all 4 datasets with different kinds of data split by UNC, Google, UMD and UC Berkeley. Note for RefCOCOg, we suggest use UMD's split which has train/val/test splits and there is no overlap of images between different split.

# locate your own data_root, and choose the dataset_splitBy you want to use
refer = REFER(data_root, dataset='refclef',  splitBy='unc')
refer = REFER(data_root, dataset='refclef',  splitBy='berkeley') # 2 train and 1 test images missed
refer = REFER(data_root, dataset='refcoco',  splitBy='unc')
refer = REFER(data_root, dataset='refcoco',  splitBy='google')
refer = REFER(data_root, dataset='refcoco+', splitBy='unc')
refer = REFER(data_root, dataset='refcocog', splitBy='google')   # test split not released yet
refer = REFER(data_root, dataset='refcocog', splitBy='umd')      # Recommended, including train/val/test