# BOSC: A toolbox for aerial imagery mapping

arXiv: https://arxiv.org/abs/2406.05833 · HTML: https://mlsanity.com/paper/2406.05833/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 8 references that are in the map.
- First posted on arXiv 9 Jun 2024.

## Builds on (most cited first, 3 of 3)

- [Segment Anything](https://mlsanity.com/paper/2304.02643/) (2023)
- [A ConvNet for the 2020s](https://mlsanity.com/paper/2201.03545/) (2022)
- [Fast Segment Anything](https://mlsanity.com/paper/2306.12156/) (2023)

## Abstract (arXiv)

Accurate and efficient label of aerial images is essential for informed decision-making and resource allocation, whether in identifying crop types or delineating land-use patterns. The development of a comprehensive toolbox for manipulating and annotating aerial imagery represents a significant leap forward in remote sensing and spatial analysis. In this report, we introduce BOSC, a toolbox that enables researchers and practitioners to extract actionable insights with unprecedented accuracy and efficiency, addressing a critical need in today's abundance of drone and satellite resources. For more information or to explore BOSC, please visit our repository.