KIHT project Presentation The aim of the KIHT project is to develop an intelligent learning device (« DigiPen » electronic pen) for digitized handwriting. The electronic « DigiPen » hardware is designed by STABILO with the help of the German Karlsruhe Institute of Technology (KIT). Digital devices can help pupils and teachers in the…
Description We introduce LPR-MNIST, a synthetic dataset replicating the key aspects of syntax evolution on vehicle license plates, as explored in the paper Relaxed syntax modeling in Transformers for future-proof license plate recognition. LPR-MNIST is a collection of 100,000 synthetic image-text pairs, generated by concatenating 5 black-and-white digits from MNIST, each…
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…