Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add dataset: icfhr_2016 #43

Open
1 task done
davanstrien opened this issue Jul 11, 2022 · 1 comment
Open
1 task done

Add dataset: icfhr_2016 #43

davanstrien opened this issue Jul 11, 2022 · 1 comment
Labels
dataset Dataset to be added good first issue Good for newcomers

Comments

@davanstrien
Copy link
Collaborator

A URL for this dataset

https://zenodo.org/record/5526880

Dataset description

The ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script (CLaMM), jointly organized by Computer Scientists and Humanists (paleographers) provided a rich database of European medieval manuscripts to the community on Handwriting Analysis and Recognition.

At this competition, we proposed two independent classification tasks which attracted five participants with seven submitted classifiers. Those classifiers are trained on a set of 2000 images with their ground truths. In the first task of script crisp classification, the classifiers have been evaluated on a test set of 1000 single-type manuscripts. In the second task of “Fuzzy Classification”, the classifiers have been carried out on a set of 2000 multi-script-type manuscripts.

Dataset modality

Image

Dataset licence

Creative Commons Attribution 4.0 International

Other licence

No response

How can you access this data

As a download from a repository/website

Confirm the dataset has an open licence

  • To the best of my knowledge, this dataset is accessible via an open licence

Contact details for data custodian

No response

@shamikbose
Copy link

#self-assign

@shamikbose shamikbose removed their assignment Jul 20, 2022
@davanstrien davanstrien added the good first issue Good for newcomers label Oct 17, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dataset Dataset to be added good first issue Good for newcomers
Development

No branches or pull requests

2 participants