AVSBench is a pixel-level audio-visual segmentation benchmark that provides ground truth labels for sounding objects. The dataset is divided into three subsets: AVSBench-object (Single-source subset, Multi-sources subset) and AVSBench-semantic (Semantic-labels subset). Accordingly, three settings are studied:

1) semi-supervised audio-visual segmentation with a single sound source

2) fully-supervised audio-visual segmentation with multiple sound sources

3) fully-supervised audio-visual semantic segmentation