# Scalable dataset acquisition for data-driven lensless imaging

arXiv: https://arxiv.org/abs/2501.13334 · HTML: https://mlsanity.com/paper/2501.13334/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jan 2025.

## Built on by (most cited first, 1 of 1)

- [A Lensless Polarization Camera](https://mlsanity.com/paper/2603.17156/) (2026)

## Abstract (arXiv)

Data-driven developments in lensless imaging, such as machine learning-based reconstruction algorithms, require large datasets. In this work, we introduce a data acquisition pipeline that can capture from multiple lensless imaging systems in parallel, under the same imaging conditions, and paired with computational ground truth registration. We provide an open-access 25,000 image dataset with two lensless imagers, a reproducible hardware setup, and open-source camera synchronization code. Experimental datasets from our system can enable data-driven developments in lensless imaging, such as machine learning-based reconstruction algorithms and end-to-end system design.