Wiki Art Dataset

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Visualization of wiki art dataset in the Deep Lake UI

Wiki Art dataset

What is Wiki Art Dataset?

The WikiArt dataset contains paintings from 195 different artists. The dataset has 42129 images for training and 10628 images for testing. Because WikiArt is available to the public, it has a well-developed structure, WikiArt is often used in the field of machine learning. Namely, it is used to train AI on WikiArt data to discover its ability to recognize, classify, and generate art.

Download Wiki Art Dataset in Python

Instead of downloading the Wiki Artdataset in Python, you can effortlessly load it in Python via our Deep Lake open-source with just one line of code.

Load Wiki Art Dataset Training Subset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/wiki-art')

DRD Dataset Structure

Wiki Art Data Fields

images: tensor containing the image.

labels: tensor to represent various emotions.

Wiki Art Data Splits

The Wiki Art dataset training set is composed of 81433 images.

How to use Wiki Art Dataset with PyTorch and TensorFlow in Python

Train a model on Wiki Art dataset with PyTorch in Python

Let’s use Deep Lake built-in PyTorch one-line dataloader to connect the data to the compute:

				
					dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)

Train a model on the Wiki Art dataset with TensorFlow in Python

				
					dataloader = ds.tensorflow()

Additional Information about Wiki Art Dataset

Wiki Art Dataset Description

Homepage: http://saifmohammad.com/WebPages/wikiartemotions.html

Paper: WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. Saif M. Mohammad and Svetlana Kiritchenko. In Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC-2018), May 2018, Miyazaki, Japan.

Point of Contact: [email protected]

Wiki Art Dataset Curators

Art. Saif M. Mohammad and Svetlana Kiritchenko

Wiki Art Dataset Licensing Information

Deep Lake users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.

If you’re a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!

Wiki Art Dataset Citation Information

				
					@inproceedings{danielczuk2019segmenting,
  title={Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data},
  author={Danielczuk, Michael and Matl, Matthew and Gupta, Saurabh and Li, Andrew and Lee, Andrew and Mahler, Jeffrey and Goldberg, Ken},
  booktitle={Proc. IEEE Int. Conf. Robotics and Automation (ICRA)},
  year={2019}
}

Wiki Art Dataset FAQs

What is the Wiki Art dataset for Python?

The WikiArt dataset is often used in the field of machine learning. Namely, it is used to train AI on WikiArt data to discover its ability to recognize, classify, and generate art. It contains painting from 195 different artists and the dataset has 42129 images for training and 10628 images for testing.

How can I use the Wiki Art dataset in PyTorch or TensorFlow?

You can stream the Wiki Art dataset while training a model in PyTorch or TensorFlow with one line of code using the open-source package Activeloop Deep Lake in Python. See detailed instructions on how to train a model on the Wiki Art dataset with PyTorch in Python or train a model on the Wiki Art dataset with TensorFlow in Python.