HRT Transgender dataset

Created in 2013, the HRT Transgender Dataset helps facial recognition systems to identify users of Hormone Replacement Therapy (HRT) transitioning or who have already transitioned from one gender to another. The dataset comprised 10,000 images of 38 people, with an average of 278 images per subject taken from publicly available YouTube videos 'under real-world conditions, including variations in pose, illumination, expression, and occlusion'. Dataset 🤖 Data Released: 2013 Developer: University of North Carolina, Wilmington (UNCW) Purpose: Train facial recognition systems; Identify HRT users Type: Database/dat aset Technique: Computer vision; Facial recognition Transparency, accountability 🙈 The HRT Transgender dataset is seen to have multiple transparency limitations: Limited access to raw data. Researchers attempting to audit the database have faced difficulties in accessing the original, unprocessed data. Lack of clear documentation. There appears to be insufficient documentation regarding the data collection methods, inclusion criteria, and data processing procedures used to compile the database. Potential selection bias. The database may not be representative of the entire transgender population, as it likely only includes individuals who have disclosed their transgender identity to healthcare providers and had it recorded in their medical records. Risks, harms 🛑 The HRT Transgender dataset has been cri ticised for using and expos ing the data of YouTube users without consent and for causing potential bias against the LGBTQ community. Incidents, issues 🔥 July 2022. HRT Transgender dataset uses YouTubers' data without consent

Product, system or model

HRT Transgender Dataset

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.