Datasets › MiSCS

MiSCS (Microscopic Shrub Cross Sections)

Introduced by Alexander Gillert et al. in Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections6 Dec 2022 archive 2025-07-28

Microscopy images of shrub cross sections for instance segmentation of tree rings.

Tree rings are used in dendroecology to reconstruct past climate. Shrubs are of special importance for climate reconstruction in the Arctic as they are the only plants with tree rings that can grow there. From a computer vision point of view, the task of detecting of shrub tree rings in microscopy images is a special case of the instance segmentation problem with several unique challenges such as the concentric ring shape of the objects.

This dataset provides 213 high resolution microscopy images split into 3 subsets according to species for further advancements in this area.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC-SA

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MiSCS

1 variant name, as the archive lists them.

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