TriCloudEdge AI Faces Database

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: George E. Violettas
DOI: 10.5281/zenodo.18429686
Cited by: 0

Abstract

AI-generated face images for testing TriCloudEdge (ESP32-CAM, ESP32-S3, AWS) from various public sources; tools for ESP32-CAM–compatible prep; non-commercial research; see README in the dataset. This dataset is used to test the TriCloudEdge project (GItHub URL will be added later). TriCloudEdge is a three-tier IoT system (ESP32-CAM → ESP32-S3 → AWS) for face detection and recognition. The faces here are used to store images on the ESP32-CAM SD card, read them on-device, run them through the ESP32 AI face-detection pipeline, and benchmark transfer (WebSocket vs Zenoh), parallelism (on/off), cloud round-trips, and related performance.

Fields of Study & Subjects

IoT and Edge/Fog Computing Face recognition and analysis Internet of Things and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN
Document type
Dataset