Gartner Insights Abstract

Emerging Tech: Maximize the Impact of Generative AI In Computer Vision

Published: 17 July 2024

Summary

Adopter organizations face challenges in improving object detection, security and medical image analysis in computer vision. Product leaders must utilize generative AI opportunities and factor them into CV roadmaps to deliver value to clients.

Included in Full Research

Overview

Key Findings
  • Generative AI (GenAI) improves object detection, security and medical image analysis through data augmentation and data correlation by enabling large language models (LLMs) to connect with visual insights analyzed by CV models.

  • GenAI advancesCV applications by combining with visual generation to produce high-quality, diverse and realistic visual content.

  • GenAI addresses the scarcity of diverse data by creating synthetic, labeled and new data elements.

Recommendations
  • Develop competitive differentiation in CV applications by integrating vision transformers (ViTs) and vision accelerators to improve image analysis in tasks such as healthcare diagnostics, object detection and autonomous driving.

  • Improve the content creation capabilities for CV applications by

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Analysts:

Alizeh Khare

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