Important Dates


Data Description

LSC2020 will new a new multimodal dataset that is four months in size, from one active lifelogger. The dataset is based on previously developed NTCIR Lifelog datasets, but merging together datasets from 2015, 2016 and 2018. The dataset consists of three files:

  • Core Image Dataset (38GB) of wearable camera images, fully redacted in 1024 x 768 resolution, captured using OMG Autographer and Narrative Clip devices.
  • Metadata for the collection, consisting of textual metadata representing time, physical activities, biometrics, locations, etc…
  • Visual Concepts extracted from the non-redacted version of the visual dataset.


LSC2020 Data Release Forms

Participants are required to sign two forms to access the datasets, an organisational agreement form for your organisation (signed by the research team leader) and an individual agreement form for each member of the research team that will access the data. The organisation agreement form should be sent to the LSC organisers (lsc@computing.dcu.ie) in PDF format. The individual agreement form must be signed by all researchers who will use the data and kept by the organisation on file. It should not be sent to the organisers, unless requested at a later date.

  1. Organisation Agreement form: to be signed by the organisation to which the participants belong. This form must be signed and sent by email to LSC organisers (lsc@computing.dcu.ie).
  2. Individual Agreement form: to be signed by each individual researcher wishing to use the LSC data collection. This form must be filed by the participating organisation, but it does not need to be sent to the organisers.

Upon completion of this process, the participants will be sent a unique username and password to access the dataset. Please note that the zip file is also password protected.



LSC 2019 Development Topics


  • The suite of development topics will be available to assist teams in developing their lifelog search engines.
  • Associated with these development topics, there will be an evaluation system that allows teams to input image IDs and receive a score depending on submission accuracy, which will be operational on 31 January 2020.