ArtDL is a novel painting data set for iconography classification composed of images collected from online sources. Most of the paintings are from the Renaissance period and depict scenes or characters of Christian art.
1 PAPER • 1 BENCHMARK
We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation. ArtBench-10 has several advantages over previous artwork datasets. Firstly, it is class-balanced while most previous artwork datasets suffer from the long tail class distributions. Thirdly, ArtBench-10 is created with standardized data collection, annotation, filtering, and preprocessing procedures.
7 PAPERS • 1 BENCHMARK
The MAMe dataset contains images of high-resolution and variable shape of artworks from 3 different museums: The Metropolitan Museum of Art of New York The Los Angeles County Museum of Art The Cleveland Museum of Art
2 PAPERS • 1 BENCHMARK
…There are 397 well-sampled categories to evaluate numerous state-of-the-art algorithms for scene recognition.
34 PAPERS • 5 BENCHMARKS
…pictures of traffic signs with stickers on their surface) that can fool state-of-the-art neural network-based perception systems and clean traffic sign images without any stickers on them.
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…This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their ability to classify images correctly.