Developing Visual Recognition Systems for Machine Learning Applications
The University of Bern in Switzerland has made a significant stride in the realm of artificial intelligence (AI) by releasing a unique dataset of abstract art images. This dataset, credited to DELAUNAY, is specifically designed for use in training AI models, particularly for image classification tasks.
The dataset, comprising 11,503 images, is a treasure trove for researchers and enthusiasts interested in abstract art. It is noteworthy that the dataset is not limited to a single artist, but spans the works of 53 different artists, providing a diverse range of abstract art styles.
While a direct search for this specific dataset may not yield immediate results, there are recommended steps to access it. First, it is advisable to check the publications or project pages of the University of Bern researchers associated with abstract art classification. Second, look for common dataset hosting platforms among Swiss research communities, such as Zenodo, figshare, or institutional repositories.
If the dataset is not publicly downloadable, reaching out to the corresponding authors or the lab at the University of Bern directly may provide access. Typically, accessing datasets involves registration or account creation on platforms like Zenodo or Synapse.
If the dataset is part of a published article, it may be cited with a DOI link for download or access after fulfilling any conditions. However, without more specific dataset links or names, a direct download URL cannot be provided here.
If you have more details or are seeking help with finding related datasets for abstract art classification, feel free to ask! This new dataset opens up exciting possibilities for AI-driven analysis and understanding of abstract art, and we look forward to seeing the innovative applications that emerge from it.
- Researchers and enthusiasts can find the DELAUNAY dataset, a unique collection of abstract art images for training AI models, by checking the publications or project pages of the University of Bern researchers associated with abstract art classification.
- Accessing the DELAUNAY dataset, which spans the works of 53 different artists, may also require contacting the corresponding authors or the lab at the University of Bern directly, especially if it's not publicly downloadable.
