iRAW Smartphone Sensor Forensics
3,203 RAW images from 20 smartphone sensors for device-authentication forensics, released on IEEE DataPort.
Keywords
Overview
As Principal Investigator of the EPSRC project MIMER, I released iRAW on IEEE DataPort in August 2026 — a public benchmark of 3,203 RAW images from 20 smartphone sensors for device-authentication forensics.
iRAW is the third of three public datasets released under MIMER, alongside MSS (the first Urdu-primary anti-spoofing corpus) and VeriVoice-V1. Together they provide open resources for biometric security research spanning speech anti-spoofing and hardware-level device identification.
The corpus is intended for researchers working on sensor-pattern noise, source camera identification, and forensic authentication of mobile imagery.
Related Project
Released under the EPSRC-funded MIMER programme as a public forensic benchmark.
View the MIMER project →