Data visualization by Adam Harvey / megapixels.cc (2020) WILDTRACK Dataset.

MegaPixels is an independent art and research publication by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image training datasets and their role in the expansion of biometric surveillance technologies.

Image acquired and published with participant's consent. Click here to go to the current Ars Electronica Festival…. The actual number of unique persons, not annotated, is much larger. (2017). Faces redacted by MegaPixels, WILDTRACK camera 4. However the affiliation with Nanjing University of Aeronautics and Astronautics (NUAA) and other research papers funding by same grant, "Electro-optic Control Laboratory and Aviation Science Foundation Project (No 20175152036)", do leave open the possibility of the WILDTRACK dataset contributing towards such research. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Newsletter | Sept 4: GalleryTalk: Laborratten Adam Harvey zeigt wie die menschliche Öffentlichtkeit zur wissenschaftlichen Wildnis wird; Aug. 27, 2020: Face First: Researchers Gone Wild, an exhibition about image training datasets collected "in the wild" at Eigen Lab, Berlin; June 26, 2020: MIT Technology Review on VFRAME project: Human rights activists want to use AI to help prove war crimes in court; June 23, … These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

The following day, Harvey leads a full day workshop on deconstructing facial recognition.

Purpose. workshop on deconstructing facial recognition. NUAA has produced over 40 unmanned aerial vehicles (UAVs) for China, most of which are small or micro sized UAVs with consumer or industrial surveillance capabilities. Analysis. Adam Harvey + Jules LaPlace. The first WILDTRACK research paper was published in July 2017. MegaPixels is made possible with support from Mozilla. Identities. In addition to shallow datasets, real word scenarios introduce more variables that further degrade performance. Adam Harvey is a researcher and artist based in Berlin focused on computer vision, privacy, and surveillance. 986208. This is equally true for UAV surveillance technologies outside China as in the Western world. This type of "forced consent" was also seen in the Duke MTMC dataset where students at Duke University were similarily co-opted into a pedestrian detection dataset while walking to classes on campus. MegaPixels is an independent art and research project that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies. Mon Closed, 16-18 Ramillies Street, London W1F 7LW

al. The installation runs locally on a desktop computer built for image processing.

(2017). A blog post from the author of the facial recognition library used in this project recorded a 99.38% accuracy on the Labeled Faces in the Wild (LFW) dataset. Additionally, a paper funded by the same project number (20175152036) and author mentions applications to "reconnaissance and other tasks." Each dataset presented on this site undergoes a thorough review of its images, intent, and citations.
MegaPixels. Previous projects on surveillance include CV Dazzle (camouflage from face recognition), the Anti-Drone Burqa (camouflage from thermal cameras), SkyLift (a geolocation spoofing device), and MegaPixels (interrogating face recognition information supply chains). I hereby consent to this website’s use of cookies for statistical purposes and to facilitate navigation. Because both Wormpex AI and Microsoft AI develop computer vision technologies for commercial applications, their use of the WILDTRACK dataset in research project could be considered as commercial reserach. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. However, after filtering for image quality and non-faces, the total number was closer to 600,000. The WILDTRACK Multi-Camera Person Dataset, WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, Wie unsere Bilder zu Überwachungstechnologie beitragen, Human Detection Under UAV: an Improved Faster R-CNN Approach, Priming Deep Pedestrian Detection with Geometric Context. Published. Combined, these attributes can degrade facial recognition accuracy to below 70%. Sun 11.00 - 18.00 MegaPixels aims to provide a critical perspective on machine learning image training datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the same technology companies who created many of the datasets presented on this site. Based on a statement in the authors' initial research paper (published in 2017) that the. The Photographers’ Gallery Limited is registered in London no. Opening Times: Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Jules LaPlace (US): https://asdf.us/jules/, MegaPixels/Adam Harvey (US), Jules LaPlace (US), Credit: Ars Electronica, Martin Hieslmair, Ars Electronica Linz GmbH & Co KG / Ars-Electronica-Straße 1, 4040 Linz, Austria. CV Dazzle: Camouflage from Face Detection by Adam Harvey. These charts show at most the top 10 countries.

(2017). When a similar face is found, a button illuminates and you can print out a summary of your match score along with information about the database. "The data acquisition took place in front of the main building of ETH Zurich, Switzerland, during nice weather conditions", The work was supported by the Swiss National Science Foundation, under the grant CRSII2-147693 "WILDTRACK". This project is presented in the framework of the European ARTificial Intelligence Lab and co-funded by the Creative Europe Programme of the European Union. Photo by Tactical Tech, Thanks to Stephanie Hankey, Marek Tuszynski, Sophie Macpherson, Daisy Kidd, Header photo courtesy Carmen Aguilar y Wedge / Hyphen-Labs, Facial recognition in Python - based on dlib. Credits: megapixels.cc He is a graduate of the Interactive Telecommunications Program at New York University (2010) and previously studied engineering and photojournalism at the Pennsylvania State University. Megapixels. If you knew that your image, your friend's image, or your child's image was being used for developing products in the defense industry, would you object? Adam Harvey (US/DE) is a researcher and artist based in Berlin focused on computer vision, privacy, and surveillance. He is a graduate of the Interactive Telecommunications Program at New York University and previously studied engineering and photojournalism at the Pennsylvania State University. Adam Harvey is a researcher and artist based in Berlin focused on computer vision, privacy, and surveillance. 1 These annotations were then utilized for the research papers The WILDTRACK Multi-Camera Person Dataset and WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection on multi-camera pedestrian detection with applications to security, surveillance, remote person identification, robotics, autonomous driving, and crowdsourcing. Wormpex AI, a lesser known name than Microsoft, develops computer vision for retail and warehouse surveillance. When a … Adam Harvey (US): https://ahprojects.com/ He is a graduate of the Interactive Telecommunications Program at New York University (2010) and previously studied engineering and photojournalism at the Pennsylvania State University. MegaPixels in lower left corner. The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. In the seven 35 minute videos, it is evident that the vast majority of students were either entirely unaware of the cameras or unaware of the research experiment. (2017). In Priming Deep Pedestrian Detection with Geometric Context, researchers affiliated with Microsoft AI and Wormpex AI used the WILDTRACK student images for developing person detection algorithms with future applications "to multi-view tracking and people re-identification." Absolutely no data is collected. The following day, Harvey leads a full day workshop on deconstructing facial recognition. MegaPixels is an independent art and research publication by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image training datasets and their role in the expansion of biometric surveillance technologies. Please see our FAQ page for up-to-date information on our temporary closure. The MegaFace database can be acquired from megaface.cs.washington.edu.


Glass Room exhibition in London. Collectively these hints should be taken with caution, as they are merely illustrative of the larger issue with transational data flows that have been documented in other datasets on this site. Adam Harvey (US) is a researcher and artist based in Berlin focused on computer vision, privacy, and surveillance. Original image from WILDTRACK dataset by Chavdarova et al. Students recorded into the WILDTRACK dataset could not have provided informed consent without at least reading these notices, and the vast majority did not even see the notice.

Data visualization by Adam Harvey / megapixels.cc (2020). In the paper Human Detection Under UAV: an Improved Faster R-CNN Approach two authors, affiliated with Nanjing University of Aeronautics and the University of Leicester, proposed a new method for detecting and tracking small targets from UAV surveillance feeds with applications for "conducting aerial surveillance." Our collection of verified geocoded citations and dataset statistics will be published as it develops and is now part of a longer term research fellowship for KIM (Critical Artificial Intelligence) Karlsruhe HfG. 5. 1 2. MegaPixels is an independent art and research project that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies. It would be more accurate to consider these papers as industrial research since there is no apparent connection to any academic or educational institution for either of the authors, though the Wormpex AI author was partly supported by a NSFC grant.


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