Download

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

• 1) http://tlberg.cs.unc.edu/licheng/referit/data/refclef.zip
• 2) http://tlberg.cs.unc.edu/licheng/referit/data/refcoco.zip
• 3) http://tlberg.cs.unc.edu/licheng/referit/data/refcoco+.zip
• 4) http://tlberg.cs.unc.edu/licheng/referit/data/refcocog.zip

Prepare Images:

Besides we add "mscoco" into the "data/images" folder. Download it from mscoco This dataset is for refcoco, refcoco+ and refgoogle. For refclef, we add "saiapr_tc-12" into 'data/images' folder. I only extracted the related images as a subset of the original imageCLEF, i.e., 19997 images. Please download the subset from here (http://tlberg.cs.unc.edu/licheng/referit/data/images/saiapr_tc-12.zip). Our dataset API "pyutils/datasets/refer.py" is able to load all 4 datasets.

How to use

# 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='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')