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Type: Dataset
Tags: images, quality, AVA, DPChallenge, aesthetics, semantic
Bibtex:
Tags: images, quality, AVA, DPChallenge, aesthetics, semantic
Bibtex:
@article{, title= {AVA: A Large-Scale Database for Aesthetic Visual Analysis}, keywords= {semantic, quality, AVA, DPChallenge, images, aesthetics}, journal= {}, author= {Naila Murray and Luca Marchesotti and Florent Perronnin}, year= {}, url= {}, license= {}, abstract= {Aesthetic Visual Analysis (AVA) contains over 250,000 images along with a rich variety of meta-data including a large number of aesthetic scores for each image, semantic labels for over 60 categories as well as labels related to photographic style for high-level image quality categorization.}, superseded= {}, terms= {} }
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