让生物图像数据一键上架AI平台，省去繁琐转换步骤。
BioimageAIpub: a toolbox for AI-ready bioimaging data publishing
- 设计自动化流程，将原始图像数据转为AI可用格式
- 支持直接上传至HuggingFace，实现数据快速共享
- 适合需要高效发布图像数据的研究者使用
现代生物图像分析方法依赖大量数据，研究人员常需从外部获取数据。除了数据规模，图像数据还需配备高质量的标注和元数据。尽管像Image Data Resource（IDR）和BioImage Archive这样的数据仓库已具备丰富元数据，但其内容通常无法被图像分析工具直接使用，必须经过大量数据清洗与转换工作。这一过程耗费研究人员大量时间，阻碍了更强大分析工具的发展。为此，我们提出了BioimageAIpub，一个可简化生物图像数据转换的流程，支持将数据无缝上传至HuggingFace——一个广泛用于分享机器学习数据集与模型的平台。
原文摘要 · Abstract (English)
Modern bioimage analysis approaches are data hungry, making it necessary for researchers to scavenge data beyond those collected within their (bio)imaging facilities. In addition to scale, bioimaging datasets must be accompanied with suitable, high-quality annotations and metadata. Although established data repositories such as the Image Data Resource (IDR) and BioImage Archive offer rich metadata, their contents typically cannot be directly consumed by image analysis tools without substantial data wrangling. Such a tedious assembly and conversion of (meta)data can account for a dedicated amount of time investment for researchers, hindering the development of more powerful analysis tools. Here, we introduce BioimageAIpub, a workflow that streamlines bioimaging data conversion, enabling a seamless upload to HuggingFace, a widely used platform for sharing machine learning datasets and models.
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