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CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index.

Hossein Mohammadi1, Krishnaprasad Thirunarayan1, Lingwei Chen1

  • 1Department of Computer Science and Engineering, Wright State University, Dayton, OH 45435, USA.

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|December 23, 2023
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Summary
This summary is machine-generated.

This study introduces the Computer Vision Interpretability Index (CVII) to quantify how understandable AI vision models are. The CVII framework shows a strong link between image interpretability, model choice, and its scores.

Keywords:
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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Computer Vision

Background:

  • Intelligent sensor systems increasingly rely on Artificial Intelligence (AI).
  • Opaque AI models like Deep Neural Networks (DNNs) necessitate interpretability for trust and compliance.
  • Quantifying interpretability in AI, especially in computer vision, is a complex, subjective challenge.

Purpose of the Study:

  • To introduce a novel framework, the Computer Vision Interpretability Index (CVII), for quantifying interpretability in AI vision tasks.
  • To develop a metric that emulates human cognitive processes in visual understanding.
  • To address the need for objective measures in subjective interpretability assessments.

Main Methods:

  • Developed the Computer Vision Interpretability Index (CVII) framework.
  • Evaluated the CVII using diverse computer vision models.
  • Tested models on the Common Objects in Context (COCO) dataset, a standard benchmark.

Main Results:

  • Established a significant correlation between image interpretability and CVII scores.
  • Demonstrated a link between the CVII and the selection of appropriate computer vision models.
  • Validated the CVII's effectiveness in assessing model interpretability.

Conclusions:

  • The CVII framework offers a quantifiable method to assess and enhance AI interpretability in computer vision.
  • This contributes to greater transparency and reliability in AI-driven decision-making for intelligent sensor systems.
  • The CVII empowers stakeholders to better understand and utilize AI technologies.