Empowering Neural Networks to Explore Artistic Creation
Overview
The Art dataset is designed for advanced experiments in deep learning and transfer learning. It aims to facilitate the generation of new images by neural networks, mimicking human artistic styles.
Dataset Status
The dataset is currently under development, and a detailed description will be provided upon completion. The available images are meticulously labeled to support varied learning scenarios.
Structure and Labels
Each image file is prefixed with labels that categorize the image by style and subject:
Style Labels:
01 – Pictogram
02 – Contour
03 – Sketch
Subject Labels:
001 – Flower
002 – Bird
003 – Butterfly
004 – Tree
005 – Plane
006 – Crane
007 – Dog
008 – Horse
009 – Deer
010 – Truck
011 – Car
012 – Cat
013 – Frog
014 – Ship
015 – Fish
016 – House
Vision
Can neural networks learn to replicate the creative process of human artists? This dataset not only challenges AI with the task of artistic replication but also explores the potential of algorithms in achieving proficiency similar to that of professional artists.
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