I am a painter with work at MoMA and the Met. I just published 50 years of my work as an open AI dataset. Here is what I learned.
I have been making figurative art since the 1970s. Oil on canvas, works on paper, drawings, etchings, lithographs, and more recently digital works. My paintings are in the collections of the Metropolitan Museum of Art, MoMA, SFMOMA, and the British Museum.
Earlier this month I published my entire catalog raisonne as an open dataset on Hugging Face. Roughly 3,000 to 4,000 documented works with full metadata, CC-BY-NC-4.0 licensed. My total output is about double that and I will keep adding to it.
In one week the dataset has had over 2,500 downloads.
I am not a developer or a researcher. I am an artist who has spent fifty years painting the human figure. I did this because I want my work to have a future and the future involves AI. I would rather engage with that on my own terms than wait for it to happen to me.
What surprised me is how quickly the research community found it and engaged with it. What did not surprise me is that the questions the dataset raises are the same questions my paintings have always asked. What does it mean to look at the human body? What does the machine see that the human does not? What does the human see that the machine cannot?
I do not have answers. I have fifty years of looking.
If you have downloaded it or are thinking about it I would genuinely like to hear what you are doing with it.
Dataset: huggingface.co/datasets/Hafftka/michael-hafftka-catalog-raisonne
[link] [comments]