A dataset of almost 2000 RGB images of clothes in real-world household scenes. All images* are annotated with semantic keypoints, object masks and object bounding boxes using the COCO keypoints format. The table below summarizes the dataset. Note that the scenes and cloth items for the train and test split are completely distinct to measure generalization across scenes and cloth items. # Scenes # Clothes # Images Train Test Train Test Train Test Tshirts 6 8 15 20 210 400 Towels 6 8 15 20 210 400 Shorts 6 8 8 9 112 180 Boxershorts 6 8 11 11 154 220 Total 6 8 49 60 686 1200 * Not all boxershort images have been labeled yet. Codebase The codebased used to capture the images and label the dataset is available here. Files There are two .zip files available: - `aRTFClothes-rgb.zip` contains all full-sized images, with COCO and CVAT annotations.- `aRTFClothes-resized-paper-splits` contains 3 zips that each contain the train/val/test splits (as coco datasets) that were used in the paper. All images are resized to 512x256. The dataset was released in this paper, if you use the dataset in scientific publications we ask to cite this work.