[Corpora-List] Call-for-Participation: ImageCLEF Detection and Recognition of Hand Drawn Website UIs Task

Bogdan Ionescu bogdanlapi at gmail.com
Thu Jan 23 22:39:49 CET 2020

[Apologies for multiple postings]

ImageCLEFdrawnUI https://www.imageclef.org/2020/drawnui

*** CALL FOR PARTICIPATION *** Building websites requires a very specific set of skills. Currently, the two main ways to achieve this is either by using a visual website builder or by programming. Both approaches have a steep learning curve. Enabling people to create websites by drawing them on a whiteboard or on a piece of paper would make the webpage building process more accessible.

A first step in capturing the intent expressed by a user through a wireframe is to correctly detect a set of atomic user interface elements (UI) in their drawings. The bounding boxes and labels resulted from this detection step can then be used to accurately generate a website layout using various heuristics.

In this context, the detection and recognition of hand drawn website UIs task addresses the problem of automatically recognizing the hand drawn objects representing website UIs, which are further used to be translated automatically into website code.

*** TASK *** Given a set of images of hand drawn UIs, participants are required to develop machine learning techniques that are able to predict the exact position and type of UI elements.

*** DATA SET *** The provided data set consists of 3,000 hand drawn images inspired from mobile application screenshots and actual web pages containing 1,000 different templates. Each image comes with the manual labeling of the positions of the bounding boxes corresponding to each UI element and its type. To avoid any ambiguity, a predefined shape dictionary with 21 classes is used, e.g., paragraph, label, header. The development set contains 2,000 images while the test set contains 1,000 images.

*** METRICS *** The performance of the algorithms will be evaluated using the standard mean Average Precision over IoU .5, commonly used in object detection.

*** IMPORTANT DATES *** - Task registration opens: December 20, 2019 - Development data release: January 13, 2020 - Test data release: March 16, 2020 - Run submission: May 11, 2020 - Working notes submission: May 25, 2020 - CLEF 2020 conference: September 22-25, Thessaloniki, Greece

*** REGISTER *** https://www.imageclef.org/2020#registration

*** OVERALL COORDINATION *** Raul Berari, teleportHQ, Cluj Napoca, Romania Paul Brie, teleportHQ, Cluj Napoca, Romania Dimitri Fichou, teleportHQ, Cluj Napoca, Romania Mihai Dogariu, University Politehnica of Bucharest, Romania Liviu Daniel Stefan, University Politehnica of Bucharest, Romania Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania

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