Newest papers

napari-TurboBox: Interactive Multi-Viewer Bounding Box Annotation for AI-Guided Volumetric Bioimaging

Nils Friederich, Philip Kohle, Maximilian Beichter, Mona Wellhäusser, Marcel Stahl, Pascal Zwick, Angelo Jovin Yamachui Sitcheu, Thomas Lautenschlager, David Exler, Linus Schilpp, Stephan Allgeier, Andreas Specker, Lennart Hilbert, Ralf Mikut · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.22413 · cited by 0 works (OpenAlex) · open-access PDF

Japanese

確実な分割モデルは1つの3D境界ボックスをインスタンスマスクに変換します。ボックスの配置は、何千ものオブジェクトを持つ顕微鏡のボリュームが注釈されているかを制限します。各ボリュームは複数の同期視聴者でチェックする必要がありますが、napari-bboxは視聴者間の状態を共有しません。編集は、各視聴者を更新し、より多くのボリュームで遅くなります。 napari-TurboBoxは、代わりに、すべての視聴者のためのボリュームの共有コピーを1つ持っています。4つの視聴者の配置では、napari-TurboBoxは、マウスごとに数ミリ秒を必要とし、3つのシリーズ視聴者を最大104ドルのボリューム

Machine translation (Meta M2M100); the English original follows.

Abstract

Promptable segmentation models turn one 3D bounding box into an instance mask. Box placement therefore limits how fast microscopy volumes with thousands of objects are annotated. Each box must be checked in several synchronized viewers, but napari-bbox shares no state between viewers. An edit must update every viewer and slows down with more boxes. napari-TurboBox instead holds one shared copy of the boxes for all viewers. In a four-viewer layout, napari-TurboBox needs a few milliseconds per mouse move to update the three slice viewers up to $10^4$ boxes. The same update in napari-bbox leaves the 33 ms budget beyond about $10^3$ boxes and takes 159 ms at $10^4$. Boxes stay axis-aligned and export to COCO and YOLO as per-slice 2D boxes. napari-TurboBox is a pure-Python plugin for napari 0.6.6 to 0.9. The code is available at https://github.com/N-Friederich/napari-turbobox under the Apache 2.0 licence, and version 0.1.0 is archived at https://doi.org/10.5281/zenodo.23090828 on Zenodo.

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Topics: Computer science, Minimum bounding box, Computer graphics (images), Annotation, Segmentation, Bounding overwatch

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange