From 3da8011bbee15c4e944bb51c432db1088a89e722 Mon Sep 17 00:00:00 2001 From: Tetiana Yemelianenko <tyemel.mzeom@gmail.com> Date: Wed, 28 Aug 2024 18:03:56 +0000 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 217a98c..66728c5 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ Extended dataset can be downloaded <a href="https://www.kaggle.com/datasets">her Extended dataset is annotated in YOLO style, so for using the original version of the DEArt dataset and extended version you should convert annotations of DEArt dataet in YOLO style too. -The new version of the dataset contains images from the 12th to 20th centuries in contrast with the original DEArt dataset with images from the 12th to 18th centuries. If it is necessary it is possible to restrict the period of the paintings by filtering images in the WikiArt dataset before dataset extension. In extended version images from WikiArt were used, so the new version contains not only paintings from European collections but also the paintings from Ukiyo-e - an ancient type of Japanese art and others. If needed you can create your own version of the dataset filtering styles using shared code of the dataset creation. +The new version of the dataset contains images from the 12th to 20th centuries in contrast with the original DEArt dataset with images from the 12th to 18th centuries. If it is necessary it is possible to restrict the period of the paintings by filtering images in the WikiArt dataset before dataset extension. In extended version images from WikiArt were used, so the new version contains not only paintings from European collections but also the paintings from Ukiyo-e - an ancient type of Japanese art, and others. If needed, you can create your own version of the dataset filtering styles by using shared code of the dataset creation. ## Steps First you need to prepare two datasets. One small with the image-level annotations of classes which you plan to extend or add to the dataset, the second one - big non-annotated dataset from which we collect and annotate images on object level using proposed approach. @@ -53,6 +53,7 @@ The dataset is available under license Creative Commons Attribution-NonCommercia ## Acknowledgments This work was funded by french national research agency with grant ANR-20-CE38-0017. We would like to thank the PAUSE ANR-Program: Ukrainian scientists support to support the scientific stay of T. Yemelianenko in LIRIS laboratory. <div style="text-align:center"><img style="margin-right: 20px" src="assets/logo_liris.png" alt="LIRIS logo" height="75" width="160"/> +<div style="text-align:center"><img style="margin-right: 20px" src="assets/anr-logo.png" alt="ANR logo" height="75" width="160"/> -- GitLab