IRISA-KIHT-S and KIHT-public Datasets Contact: Florent IMBERT (florent.imbert@irisa.fr), Eric ANQUETIL (eric.anquetil@irisa.fr) Partner: STABILO, IRISA (IntuiDoc/SHADoc Team), KIT , Learn&Go, Funding : ANR Startdate: 01.10.2021 Enddate: 30.09.2024 Links SHADoc team ex Intuidoc team Project webpage Download the IRISA-KIHT-S Dataset Download the KIHT-public Dataset Digital devices can help pupils…
Field Localisation and Recognition of Identity Documents (IDs) is a challenging task due to the variability of captures, the complexity of background composition and the diversity of document layout.Also, it is common to encounter ID Types that were not seen at training time such as new versions or when addressing…
Article by William Mocaër Online action detection is a challenging task in computer vision that involves recognizing and localizing human actions in real-time video streams. To facilitate research in this area, several datasets have been developed, each offering unique characteristics and challenges. In this article, we will present six datasets…
MTGSetB original : https://www-intuidoc.irisa.fr/mtg-mtgseta-et-mtgsetb/ ILGDB original : https://www-intuidoc.irisa.fr/base-de-donnees-ilgdb/ Download MTGSetB, untrimmed version : https://www.irisa.fr/intuidoc/data/database/MTGSetB_Untrimmed.zip Download ILGDB, untrimmed version : https://www.irisa.fr/intuidoc/data/database/ILGDB_Untrimmed.zip For any questions, please contact Eric Anquetil
Presentation MTG dataset (for Multi-Touch Gestures) MTGSetA contains 18 multi-touch gestures. MTGSetB consists of 31 classes, with 27 multi-touch gestures and 4 multi-stroke mono-touch gesture MTGSetA – 18 classes MTGSetB – 46 classes, regrouped into 31 rotation-independant classes Gestures available in MTG Specifications The MTG dataset is divided into two parts…
Description In the context of a work on text-lines localization in handwritten documents containing tables, we proposed to evaluate our system on a subset of cBAD (Competition on Baseline Detection, ICDAR 2017 [1]) dataset (track B) that contains exclusively documents with tabular structures. The dataset of the cBAD competition is…
Description This work takes place in the context of the thesis of of Kwon-Young Choi on the subject of resolving segmentation problems in dense and damaged printed piano scores from the 1750 to 1950 period. This data set contains 2955 images with annotations for the task of detecting or rejecting…
Presentation: Different from existing dynamic hand gesture datasets, LMDHG contains unsegmented sequences of hand gestures performed with either one hand or both hands. This dataset can therefore be used for recognition of both pre-segmented and unsegmented dynamic hand gestures using skeleton data. Download the database Download database information Content: There…
Description This work takes place in the context of the “FamilySearch” database proposed for the structure recognition competition during HIP’2013 workshop (satellite of ICDAR 2013)/ This competition focus on the localisation of 4 regions of interest inside of documents, and then a clustering in order to gather similar fields. A…
Presentation: The Children Handwritings Database can be used for analysis of writing performances along a learning process based on repeats of letter writing. This database is part of IntuiScript, an innovative project that aims for designing a digital notebook dedicated to handwriting learning at primary schools. One of the main…
