Autonomous Visual Moderation System (AutoMod) Otonom Görsel Moderasyon Sistemi (AutoMod)

Date

2023-01-01

Author

Bahtiyar, Huseyin
Katipoǧlu, Bahadir Irfan
Yüksel, Eda
Toroslu, İsmail Hakkı
Karagöz, Pınar

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Automod, the content moderation system, is an artificial intelligence solution that enables the detection of similarities and inconsistencies in visual content (image, video, etc.). It is designed as a content moderation system to detect the similarity and inconsistencies of user-generated visual content (images and videos). With the similarity module installed, labor savings of 15% were achieved, and F1 score results of 90% and higher were achieved for nonconformity detection models. More than 100.000 images can be evaluated daily, and the system's load was tested. Similarly, keyframes obtained from at least 65.000 video content that can be evaluated daily were passed through nonconformity models, and load test was applied.

Subject Keywords

Deep Learning, Image Processing, Machine Learning

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85173429426&origin=inward
https://hdl.handle.net/11511/105704

Collections

Department of Computer Engineering, Conference / Seminar