The benchmark contains 1220 real-world images with a wide range of material states and settings. For example: food states (cooked/burned..), plants (infected/dry.) to rocks/soil (minerals/sediment), construction/metals (rusted, worn), liquids (foam/sediment), and many other states in a class-agnostic manner. The goal is to evaluate the segmentation of material materials without knowledge or pretraining on the material or setting. The focus is on materials with complex scattered boundaries, and gradual transition (like the level of wetness of the surface). Readers and documentation are available in the benchmark zip.