DetoxAI: A Python Toolkit for Debiasing Deep Learning Models in Computer Vision

2026
OriginalPaper
Chapter

Published in:

Authors: Ignacy Stępka; Lukasz Sztukiewicz; Michał Wiliński; Jerzy Stefanowski
Published in: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
Publisher: Springer Nature Switzerland

Read first chapter Log in

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

DetoxAI is a Python toolkit designed to debias deep learning models in computer vision, addressing gaps in existing fairness tools. It offers representation-level debiasing, seamless PyTorch integration, and practical applications for both industry and research. The toolkit provides three main functions: visualizing bias through example images and heatmaps, quantifying bias using fairness-performance metrics, and eliminating bias via a simple code snippet. DetoxAI supports various debiasing methods and offers a unified API for easy implementation. It is model-agnostic and focuses on binary classification tasks with binary protected attributes. The toolkit is designed to be production-ready and highly extensible, supporting a wide range of practical applications across both industry and research. DetoxAI's simple and consistent API lowers the barrier to applying bias mitigation techniques, making fairness interventions accessible to engineers and researchers alike.

AI Generated

This summary of the content was generated with the help of AI.

Notes

I. Stępka, L. Sztukiewicz and M. Wiliński—Equal contribution.

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

more than 102.000 books
more than 537 journals

from the following subject areas:

Automotive
Construction + Real Estate
Business IT + Informatics
Electrical Engineering + Electronics
Energy + Sustainability
Finance + Banking
Management + Leadership
Marketing + Sales
Mechanical Engineering + Materials
Insurance + Risk

Secure your knowledge advantage now!

inform now

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

more than 67.000 books
more than 390 journals

from the following specialised fileds:

Automotive
Business IT + Informatics
Construction + Real Estate
Electrical Engineering + Electronics
Energy + Sustainability
Mechanical Engineering + Materials

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

more than 67.000 books
more than 340 journals

from the following specialised fileds:

Construction + Real Estate
Business IT + Informatics
Finance + Banking
Management + Leadership
Marketing + Sales
Insurance + Risk

Secure your knowledge advantage now!

inform now

previous chapter VisualTreeSearch: Understanding Web Agent Test-Time Scaling

next chapter Obfuscation of Sensitive Text in Audiovisual Content Using AI

Metadata
Literature

Title: DetoxAI: A Python Toolkit for Debiasing Deep Learning Models in Computer Vision
Authors: Ignacy Stępka
Lukasz Sztukiewicz
Michał Wiliński
Jerzy Stefanowski
Publisher: Springer Nature Switzerland
Book: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
Print ISBN: 978-3-032-06128-7

Electronic ISBN: 978-3-032-06129-4

Copyright Year: 2026
DOI: https://doi.org/10.1007/978-3-032-06129-4_39

This content is only visible if you are logged in and have the appropriate permissions.