UMG-41M is a component of our ECCV 2024 paper, UMG-CLIP (UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding). It includes tag and caption annotations at both the image level and pixel level, as well as segmentation masks for both the foreground and background of images from six public datasets: CC3M, CC12M, SBU, VG, YFCC15M, and IN21K.

An example for the annotations in UMG-41M:

UMG-41M can be used in the following ways:

Unzip the zip packages of the individual subdatasets, each of which contains multiple subfolders. Each subfolder contains the JSON annotations corresponding to the images.
Download the data for the individual subdatasets from their respective websites, and place the corresponding PNG images in the same folders as the JSON annotations.
Use the WebDataset library to access this data in the code.

Our code for UMG-CLIP will be available at https://github.com/lygsbw/UMG-CLIP.