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---
title: "EPIC-KITCHENS 2018 Dataset"
layout: default
---
<!-- About -->
<section class="bg-light" id="about">
<div class="container">
<div class="row">
<div class="col-lg-12">
<h2 class="section-heading text-uppercase">News</h2>
<h5 class="text-muted" style="text-align:left;">
<ul>
<li>EPIC-Kitchens 2019 Challenge Announced - Deadline 30 May 23:59:59 GMT - <a href="https://epic-kitchens.github.io/2018#challenges">Details</a></li>
<li>Challenge Leaderboards open <b>9th of Sep</b>, alongside <a href="http://eyewear-computing.org/EPIC_ECCV18/program.html">EPIC@ECCV2018</a></li>
<li>EPIC-Kitchens accepted for oral presentation at ECCV 2018 in Munich this September</li>
<li>News coverage: <a href="http://www.bristol.ac.uk/news/2018/april/epic-kitchens.html">UoB</a>, <a href="https://thespoon.tech/how-an-obscure-academic-project-may-have-just-started-a-kitchen-robot-revolution/">The Spoon</a>, <a href="http://nova.ilsole24ore.com/esperienze/dataset-in-prima-persona/">Il Sole 24 Ore</a>, <a href="http://www.lasicilia.it/news/tech/160460/deep-learning-e-il-dataset-in-prima-persona-come-le-macchine-riconoscono-le-interazioni-umane.html">La Sicilia</a>, <a href="https://retina.elpais.com/retina/2018/05/16/tendencias/1526475854_896892.html">Elpais</a></li>
<li>EPIC-Kitchens Released: 9th of April 2018!!!</li>
<li>Watch <a href="https://youtu.be/Dj6Y3H0ubDw" target="_blank">YouTube Release Trailer here</a></li>
</ul>
</h5>
</div>
</div>
<div class="row">
<!-- news column -->
<div class="col-md-4">
<h4 class="service-heading">What is EPIC-Kitchens?</h4>
<p class="text-muted">The <b>largest dataset in first-person (egocentric) vision</b>; multi-faceted <b>non-scripted</b> recordings in native environments - i.e. the wearers' homes, capturing all daily activities in the kitchen over multiple days. Annotations are collected using a novel `live' audio commentary approach.</p>
</div>
<!-- characteristics column -->
<div class="col-md-4">
<h4 class="service-heading">Characteristics</h4>
<ul class="text-muted">
<li class="text-muted">32 kitchens - 4 cities</li>
<li class="text-muted">Head-mounted camera</li>
<li class="text-muted">55 hours of recording - Full HD, 60fps</li>
<li class="text-muted">11.5M frames</li>
<li class="text-muted">Multi-language narrations</li>
<li class="text-muted">39,594 action segments</li>
<li class="text-muted">454,255 object bounding boxes</li>
<li class="text-muted">125 verb classes, 331 noun classes</li>
</ul>
</div>
<!-- udated column -->
<div class="col-md-4">
<h4 class="service-heading">Updates</h4>
<p class="text-muted">Stay tuned with updates on epic-kitchens2018, as well as EPIC workshop series by
joining the <strong>epic-community mailing list</strong>
send an email to:
<a href="mailto:[email protected]?subject=subscribe%20epic-community">
</a>
with the subject <em>subscribe epic-community</em> and a
<em>blank</em> message body.
</p>
</div>
</div>
<!-- video banner row -->
<div class="row">
<div class="col-lg-12">
<video autoplay muted loop width="100%">
<source src="{{ site.baseurl }}/static/videos/04x04_vp9.webm" type="video/webm">
<source src="{{ site.baseurl }}/static/videos/04x04_h265_720.mp4" type="video/mp4">
<source src="{{ site.baseurl }}/static/videos/04x04_h264_720.mp4" type="video/mp4">
Sorry, we cannot display the EPIC-Kitchens 2018 video wall as
your browser doesn't support HTML5 video.
</video>
</div>
</div>
</div>
</section>
<!-- Stats -->
<section id="stats">
<div class="container">
<div class="row">
<div class="col-lg-12 text-center">
<h2 class="section-heading text-uppercase">EPIC-Kitchens Stats</h2>
<h3 class="section-subheading text-muted">Some graphical representations of our dataset and annotations</h3>
</div>
</div>
<!-- to add graphs follow below example -->
<div class="row justify-content-md-center text-center">
<div class="col-md-4 centered" style="padding:1rem;">
<img src="{{ site.baseurl }}/static/img/stats-figures/timeOfDay.png" style="width: 100%" class="img-responsive"/>
<h4>Time Of Day</h4>
</div>
<div class="col-md-4 centered" style="padding:1rem; vertical-align:bottom">
<!-- TO ADD GRAPH: replace div below, ex: above <img> tag -->
<img src="{{ site.baseurl }}/static/img/stats-figures/pie.png" style="width: 100%" class="img-responsive"/>
<h4>Activities</h4>
</div>
<div class="col-md-4 centered" style="padding:1rem;">
<img src="{{ site.baseurl }}/static/img/stats-figures/Wordle-min.png" style="width: 100%" class="img-responsive"/>
<h4>Wordle of annotations</h4>
</div>
</div>
<div class="row justify-content-md-center text-center">
<div class="col-md centered" style="padding:1rem;">
<img src="{{ site.baseurl }}/static/img/stats-figures/verb_stats.png" style="width: 100%" class="img-responsive"/>
</div>
</div>
<div class="row justify-content-md-center text-center">
<div class="col-md centered" style="padding:1rem;">
<img src="{{ site.baseurl }}/static/img/stats-figures/nouns-stats.png" style="width: 100%" class="img-responsive"/>
</div>
</div>
<!-- <div class="row justify-content-md-center text-center">
<div class="col-md-4 centered" style="padding:1rem;">
<div id="graph4" style="width: 100%" class="img-responsive"></div>
<h4>Resolution</h4>
</div>
<div class="col-md-4 centered" style="padding:1rem;">
<div id="graph5" style="width: 100%" class="img-responsive"></div>
<h4>Number of Frames</h4>
</div>
<div class="col-md-4 centered" style="padding:1rem;">
<div id="graph6" style="width: 100%" class="img-responsive"></div>
<h4>Total number of hours</h4>
</div>
</div>
<div class="row justify-content-md-center text-center">
<div class="col-md-4 centered" style="padding:1rem;">
<div id="graph7" style="width: 100%" class="img-responsive"></div>
<h4>Number of annotators</br>used per video</h4>
</div>
<div class="col-md-4 centered" style="padding:1rem;">
<div id="graph8" style="width: 100%" class="img-responsive"></div>
<h4>Splits</h4>
</div>
</div> -->
<!-- <div class="col-md-6">
<div class="card" style="border: solid 2px; background-color: #373435ff; margin-bottom:5px;">
<h1 style=" color: white; text-decoration: underline; text-decoration-color: #ed323eff;"> Baseline Models </h1>
<div id="graph9"></div>
</div>
<div class="card" style="border: solid 2px; background-color: #ed323eff;">
<h1 style=" color: white; text-decoration: underline; text-decoration-color: #373435ff;"> State of the Art Results </h1>
<div id="graph10"></div>
</div>
</div> -->
</div>
</section>
<section class="bg-light" id="downloads">
<div class="container">
<div class="row">
<div class="col-md-12 text-center">
<h2 class="section-heading text-uppercase">Download</h2>
<h3 class="section-subheading text-muted">Dataset publicly available for research purposes</h3>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h4 class="section-subheading">Sequences and Annotations</h4>
<p>
Sequences: Available at <a href="http://dx.doi.org/10.5523/bris.3h91syskeag572hl6tvuovwv4d">Data.Bris servers (1TB zipped)</a>
</p>
<p>
To download parts of the dataset, we provide three scripts for downloading the
<ul>
<li><a href="https://github.com/epic-kitchens/download-scripts/blob/master/download_videos.sh">videos</a></li>
<li><a href="https://github.com/epic-kitchens/download-scripts/blob/master/download_frames_rgb_flow.sh">frames</a></li>
<li><a href="https://github.com/epic-kitchens/download-scripts/blob/master/download_object_detection_images.sh">object annotation images</a> separately</li>
</ul>
</p>
<aside>
Note: These scripts will work for Linux and Mac. For Windows users a bash installation should work.<br/>
Annotations: Available at <a href="https://github.com/epic-kitchens/annotations">GitHub Repo epic-kitchens/annotations</a>
</aside>
<section>
<h4 class="section-subheading">Publication(s)</h4>
<p>Cite the following paper
(<a href="https://arxiv.org/abs/1804.02748">available now on Arxiv</a> and
<a href="http://openaccess.thecvf.com/content_ECCV_2018/html/Dima_Damen_Scaling_Egocentric_Vision_ECCV_2018_paper.html">the CVF</a>):</p>
<pre class="bibtex"><code>@INPROCEEDINGS{Damen2018EPICKITCHENS,
title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and
Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan
and Perrett, Toby and Price, Will and Wray, Michael},
booktitle={European Conference on Computer Vision (ECCV)},
year={2018}
} </code></pre>
</section>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h4 class="section-subheading">Copyright <img alt="Creative Commons License" style="border-width:1px;float:left;margin-right:15px;margin-bottom:0px;" src="https://i.creativecommons.org/l/by-nc/3.0/88x31.png"/></h4>
<p>
All datasets and benchmarks on this page are copyright by us and published under the <a rel="license" href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International</a> License. This means that you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
</p>
</div>
</div>
</div>
</section>
<!-- Challenges -->
<section id="challenges">
<div class="container">
<div class="row">
<div class="col-md-12 text-center">
<h2 class="section-heading text-uppercase">Challenges</h2>
<h3 class="section-subheading text-muted">Challenge and Leaderboard Details</h3>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h4 class="subheading">EPIC-Kitchens Challenges @CVPR2019, Long Beach, CA - Dates</h4>
<div class="row">
<div class="col-md-3">
Feb 10, 2019
</div>
<div class="col-md-9">
EPIC-Kitchens Challenges 2019 Launched!
</div>
</div>
<div class="row">
<div class="col-md-3">
May 30, 2019
</div>
<div class="col-md-9">
Server Submission Deadline at 23:59:59 GMT
</div>
</div>
<div class="row">
<div class="col-md-3">
Jun 7, 2019
</div>
<div class="col-md-9">
Deadline for Submission of Technical Reports
</div>
</div>
<div class="row">
<div class="col-md-3">
June, 2019
</div>
<div class="col-md-9">
Results announced at <a href="http://www.eyewear-computing.org/EPIC_CVPR19">EPIC@CVPR2019</a> and <a href="http://activity-net.org/challenges/2019/">ActivityNet@CVPR2019</a> Workshops
</div>
</div>
</div>
</div>
<br/>
<div class="row">
<div class="col-md-12">
<h4 class="subheading">Challenges Guidelines</h4>
<p>The three challenges below and their test sets and evaluation servers are available via CodaLab. The leaderboards will decide the winners for each individual challenge. When comparing to state of the art (i.e. in papers), results should be reported on bot test sets (S1 and S2) via submitting your predictions to the evaluation server.</p>
<p>For each challenge, the CodaLab server page details submission format and evaluation metrics. To <b>enter any of the three competitions</b>, you need to register an account for that challenge using a valid institute (university/company) email address. A single registration per research team is allowed. For all challenges the maximum sumissions per day is limited to 1.</p>
<p>To <b>submit</b> your results, follow the JSON submission format, upload your results and give time for the evaluation to complete (in the order of several minutes). After the evaluation is complete, the results automatically appear on the public leaderboards but you are allowed to withdraw these at any point in time.</p>
<p>To <b>participate</b> in the challenge, you need to have your results on the public leaderboard, along with an informative team name (that represents your institute or the collection of institutes participating in the work), as well as brief information on your method. You are also required to submit a report on your method (in the form of 2-6 pages) to the EPIC@CVPR workshop by June 7th, detailing your entry's technical details.</p>
<p>To <b>submit your technical report</b>, use the <a href="http://cvpr2019.thecvf.com/submission/main_conference/author_guidelines#submission_instructions">CVPR 2019 camera ready author kit (no blind submission)</a>, and submit a report of 2-6 pages inclusive of any references to the <a href="https://cmt3.research.microsoft.com/EPIC2019">EPIC@CVPR2019 CMT3 website</a>. Please select the track "EPIC-Kitchens 2019 Challenges - Technical Papers" when submitting your pdf. These technical reports will be combined into an overall report of the EPIC-Kitchens challenges.</p>
<p>Make the most of the starter packs available with the challenges, and should you have any questions, please use our info email <a href="mailto:[email protected]">[email protected]</a></p>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h4 class="subheading">Frequently Asked Questions</h4>
<ul>
<li>
<b>Q.</b> Who is allowed to participate?<br/>
<b>A.</b> Any researcher, whether in academia or industry, is invited to participate in the EPIC-Challenges. We only request a valid official email address, associated with an institution, for registraton. This ensures we limit the number of submissions per team. Do not use your personal email for registration. You registration request will be declined without further explanation.
</li>
<li>
<b>Q.</b> Can I participate in more than one challenge? Do I need to register separately for each challenge?<br/>
<b>A.</b> Yes, and yes. You can participate in all three challenges but you need to register separately for each. Winners for each challenge will be announced and there will be no 'overall' winner across challenges.
</li>
<li>
<b>Q.</b> Can I get additional submission limits to debug my file format?<br/>
<b>A.</b> No. Please check your format in advance. We do not offer additional allowance for submission failures.
</li>
<li>
<b>Q.</b> Can I participate in the challenge but not submit a report describing my method?<br/>
<b>A.</b> We do not allow that option. Entries to the challenge will only be considered if a technical report is submitted on time. This should not affect later publications of your method if you restrict your report to 4 pages including references.
</li>
<li>
<b>Q.</b> Should I disclose the team's name on the public leaderboard?<br/>
<b>A.</b> Yes, you need to have a team name that represents your institution before the server's closing time.
</li>
<li>
<b>Q.</b> What happens after the server closes?<br/>
<b>A.</b> We will close the test server after the deadline and until the workshops, but open it again later for normal submissions of future papers.
</li>
<li>
<b>Q.</b> Are there any prizes given?<br/>
<b>A.</b> No. You will be issued a certificate should you be one of our top-3 winners in any of the three challenges.
</li>
<li>
<b>Q.</b> Can I add other members to my team?<br/>
<b>A.</b> Yes you can.
</li>
<li>
<b>Q.</b> Is the submission limit for the user or for the team?<br/>
<b>A.</b> For the team.
</li>
<li>
<b>Q.</b> Can you give me access to features of pre-trained models of baselines?<br/>
<b>A.</b> No, we are not giving pre-trained models for this version of the challenge.
</li>
</ul>
</div>
</div>
<section class="challenge" id="challenge-action-recognition">
<div class="row">
<div class="col-md-12">
<h4 class="subheading"><a href="https://competitions.codalab.org/competitions/20115">Action-Recognition Challenge</a></h4>
<p class="text-muted">
Given a trimmed action segment, the challenge is to classify the
segment into its action class composed of the pair of verb and noun
classes. To participate in this challenge, predictions for all
segments in the seen (S1) and unseen (S2) test sets should be
provided. For each test segment we require the confidence scores
for each verb and noun class.
</p>
</div>
</div>
<div class="details row text-center">
<div class="col-md">
<a href="https://github.com/epic-kitchens/starter-kit-action-recognition">
<i class="text-center centered fas fa-4x fa-seedling"></i>
</a>
<br />
<p class="text-muted">Get started with the
<a href="https://github.com/epic-kitchens/starter-kit-action-recognition">starter pack</a>
</p>
</div>
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20115#learn_the_details-submission-format">
<i class="text-center centered fas fa-4x fa-info"></i>
</a>
<br />
<p class="text-muted">Learn about the
<a href="https://competitions.codalab.org/competitions/20115#learn_the_details-submission-format">submission format details</a>
</p>
</div>
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20115#results">
<i class="text-center centered fas fa-4x fa-trophy"></i>
</a>
<p class="text-muted">Submit your results on
<a href="https://competitions.codalab.org/competitions/20115#results">CodaLab website</a>
</p>
</div>
</div>
<figure class="text-muted">
<figcaption>Sample qualitative results from the challenge's baseline</figcaption>
<img src="{{ site.baseurl }}/static/img/stats-figures/challenge2.png" style="width: 100%" class="img-responsive"/>
</figure>
</section>
<section class="challenge" id="challenge-action-anticipation">
<div class="row">
<div class="col-md-12">
<h4 class="subheading">
<a href="https://competitions.codalab.org/competitions/20071">Action-Anticipation Challenge</a>
</h4>
<p class="text-muted">
Given an anticipation time, set to 1s before the action starts, the
challenge is to classify the future action into its action class
composed of the pair of verb and noun classes. To participate in
this challenge, predictions for all segments in the seen (S1) and
unseen (S2) test sets should be provided. For each test segment we
require the confidence scores for each verb and noun class.
</p>
</div>
</div>
<div class="details row text-center">
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20071#learn_the_details-submission-format">
<i class="text-center centered fas fa-4x fa-info"></i>
</a>
<br />
<p class="text-muted">Learn about the
<a href="https://competitions.codalab.org/competitions/20071#learn_the_details-submission-format">submission format details</a>
</p>
</div>
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20071#results">
<i class="text-center centered fas fa-4x fa-trophy"></i>
</a>
<p class="text-muted">Submit your results on
<a href="https://competitions.codalab.org/competitions/20071#results">CodaLab website</a>
</p>
</div>
</div>
<figure class="text-muted">
<figcaption>Sample qualitative results from the challenge's baseline</figcaption>
<img src="{{ site.baseurl }}/static/img/stats-figures/challenge3.png" style="width: 100%" class="img-responsive"/>
</figure>
</section>
<section class="challenge" id="challenge-object-detection">
<div class="row">
<div class="col-md-12">
<h4 class="subheading"><a href="https://competitions.codalab.org/competitions/20111">Object-Detection Challenge</a></h4>
<p class="text-muted">
This challenge focuses on object detection and localisation. Note
that our annotations only capture the ‘active’ objects pre-,
during- and post- interaction. To participate in the challenge
bounding box predictions with confidence scores should be submitted
for sampled frames from the seen (S1) and unseen (S2) test sets.
</p>
</div>
</div>
<div class="details row text-center">
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20111#learn_the_details-submission-format">
<i class="text-center centered fas fa-4x fa-info"></i>
</a>
<br />
<p class="text-muted">Learn about the
<a href="https://competitions.codalab.org/competitions/20111#learn_the_details-submission-format">submission format details</a>
</p>
</div>
<div class="col-md">
<a href="https://competitions.codalab.org/competitions/20111#results">
<i class="text-center centered fas fa-4x fa-trophy"></i>
</a>
<p class="text-muted">Submit your results on
<a href="https://competitions.codalab.org/competitions/20111#results">CodaLab website</a>
</p>
</div>
</div>
<figure class="text-muted">
<figcaption>Sample qualitative results from the challenge's baseline</figcaption>
<img src="{{ site.baseurl }}/static/img/stats-figures/challenge1.png" style="width: 100%" class="img-responsive"/>
</figure>
</section>
</div>
</section>
<!-- Team -->
<section class="bg-light" id="team">
<div class="container">
<div class="row">
<div class="col-lg-12">
<h2 class="section-heading text-uppercase">The Team</h2>
<div class="text-muted">
<p> We are a group of researchers working in computer vision
from the <a href="http://www.cs.bris.ac.uk/">University
of Bristol</a>, <a href="http://web.cs.toronto.edu/">University of
Toronto</a>, and <a href="http://www.unict.it/">University of
Catania</a>.
</p>
</div>
</div>
</div>
<div class="row">
<div class="col-md-4">
<a href="http://www.bristol.ac.uk/">
<img src="{{ site.baseurl }}/static/img/universities/bristol-min.png" alt="" style="width:90%; margin-top:15px; margin-bottom:15px;">
</a>
</div>
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<a href="https://www.utoronto.ca/">
<img src="{{ site.baseurl }}/static/img/universities/toronto-min.png" alt="" style="width:90%; margin-bottom:5px;">
</a>
</div>
<div class="col-md-4">
<a href="https://www.unict.it/en/">
<img src="{{ site.baseurl }}/static/img/universities/catania-min.png" alt="" style="width:90%; margin-bottom:5px;">
</a>
</div>
</div>
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<div class="col-md-4">
<div class="team-member">
<a href="http://dimadamen.github.io">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/dd-min.jpg"/>
<h4>Dima Damen</h4></a>
<h5>Principal Investigator</h5>
<h6 class="text-muted">University of Bristol<br/>United Kingom</h6>
</div>
</div>
<div class="col-md-4">
<div class="team-member">
<a href="http://www.cs.utoronto.ca/~fidler/">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/sanja-min.jpg" />
<h4>Sanja Fidler</h4></a>
<h5>Co-Investigator</h5>
<h6 class="text-muted">University of Toronto, NVIDIA AI Research<br/>Canada</h6>
</div>
</div>
<div class="col-md-4">
<div class="team-member">
<a href="http://www.dmi.unict.it/farinella/">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/gmf-min.jpg" />
<h4>Giovanni Maria Farinella</h4></a>
<h5>Co-Investigator</h5>
<h6 class="text-muted">University of Catania<br/>Italy</h6>
</div>
</div>
</div>
<div class="row">
<div class="col-md-3">
<div class="team-member">
<a href="http://www.davidemoltisanti.com/research">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/dm-min.jpg" />
<h4>Davide Moltisanti</h4></a>
<h5>(Apr 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="https://mwray.github.io/">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/mw-min.jpg" />
<h4>Michael Wray</h4></a>
<h5>(Apr 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="http://hazeldoughty.github.io">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/hd-min.jpg" />
<h4>Hazel Doughty</h4></a>
<h5>(Apr 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/tp-min.jpg" />
</a>
<h4>Toby Perrett</h4>
<h5>(Apr 2017 - Apr 2018)</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
</div>
<div class="row">
<div class="col-md-3">
<div class="team-member">
<a href="http://iplab.dmi.unict.it/furnari/">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/af-min.jpg" />
<h4>Antonino Furnari</h4></a>
<h5>(Jul 2017 - )</h5>
<h6 class="text-muted">University of Catania</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/jm-min.jpg" />
</a>
<h4>Jonathan Munro</h4>
<h5>(Sep 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/vk-min.jpg" />
</a>
<h4>Evangelos Kazakos</h4>
<h5>(Sep 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
<div class="col-md-3">
<div class="team-member">
<a href="http://willprice.org">
<img class="mx-auto rounded-circle" src="{{site.baseurl}}/static/img/profile/wp-min.jpg" />
<h4>Will Price</h4></a>
<h5>(Oct 2017 - )</h5>
<h6 class="text-muted">University of Bristol</h6>
</div>
</div>
</div>
<div class="container">
<div class="row">
<div class="col-lg-12">
<h2 class="section-heading text-uppercase">Sponsors</h2>
<div class="text-muted">
<p> The dataset is sponsored by:
<ul class="text-muted">
<li><a href="https://www.nokia.com/en_int/nokia-technologies">Nokia Technologies</a> - Charitable Donation</li>
<li><a href="http://www.bristol.ac.uk/golding/">Jean Golding Institute, University of Bristol</a> - Seed corn funding</li>
</ul>
</p>
</div>
</div>
</div>
</div>
</section>
<section class="bg-light" id="results">
<div class="container">
<div class="row">
<div class="col-lg-12">
<h2 class="section-heading text-uppercase">Results (June 2019)</h2>
<div class="text-muted">
<h2 class="section-heading text-uppercase">Action Recognition Challenge</h2>
<div class="col-md">
<img src="{{site.baseurl}}/static/results2019/recognition-S1.png" width=100%/>
</div>
<div class="col-md">
<img src="{{site.baseurl}}/static/results2019/recognition-S2.png" width=100%/>
</div>
<h2 class="section-heading text-uppercase">Action Anticipation Challenge</h2>
<div class="col-md">
<img src="{{site.baseurl}}/static/results2019/anticipation-S1.png" width=100%/>
</div>
<div class="col-md">
<img src="{{site.baseurl}}/static/results2019/anticipation-S2.png" width=100%/>
</div>
</div>
</div>
</div>
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