{"id":42577,"date":"2026-09-12T16:27:43","date_gmt":"2026-09-12T14:27:43","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/researcher-looking-for-interesting-real-world-datasets-that-havent-been-fully-explored-with-ml-cv\/"},"modified":"2026-09-12T16:27:43","modified_gmt":"2026-09-12T14:27:43","slug":"researcher-looking-for-interesting-real-world-datasets-that-havent-been-fully-explored-with-ml-cv","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/researcher-looking-for-interesting-real-world-datasets-that-havent-been-fully-explored-with-ml-cv\/","title":{"rendered":"Researcher Looking For Interesting Real-world Datasets That Haven’t Been Fully Explored With ML\/CV"},"content":{"rendered":"

<\/p>\n

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I’m starting my PhD and I’ve been thinking quite a bit about what I actually want to spend the next few years working on.<\/p>\n

My background is mainly in computer vision and deep learning<\/strong>, although I’ve worked on quite a few broader ML projects as well. Most of my work has been research-oriented: training and evaluating models, running experiments and ablations, comparing architectures, benchmarking methods, and working on papers\/scientific contributions.<\/p>\n

What I’d really like to do now is work on more real problems with real data<\/strong>, rather than picking another benchmark and trying to squeeze another 0.x% out of it.<\/p>\n

So I thought I’d ask here:<\/p>\n

Does anyone have an interesting dataset or real-world problem that they think is underexplored from an ML\/CV perspective?<\/strong><\/p>\n

I’m particularly interested in situations where someone has:<\/p>\n