AI-Based Image Classification for Indian Temple Iconography: A CNN-Based Approach
India is a country that encompasses a vast and diverse cultural and historical legacy, including numerous architecturally significant sculptures in temples. Analyzing and identifying entities in temple sculptures is a highly challenging and complex task. Digital archives with images, videos, books, interviews, and other resources can significantly accelerate iconographic research by building on past studies. This study explores image classification techniques applied to archives to enhance iconographic study. The findings contribute to the broader discourse on Indian art and culture, providing valuable insights into the intricate iconographic representations found in temple architecture.
Authors
- Aprna Tripathi (ORCID: https://orcid.org/0000-0002-4714-3098)
- Lubna Ansari
- Vijayalakshmi G. V. Mahesh (ORCID: https://orcid.org/0000-0002-1917-7506)
Institutions
- Mangalayatan University (IN)
- Manipal University Jaipur
Publication Details
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1109/aide64228.2025.10987322
- Citations
- 1
- Primary Topic
- Currency Recognition and Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.28