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The increasing influence of cinema on fashion trends in India has prompted a need for data-driven analysis to quantify its impact. Prior research has explored general fashion classification or cultural impacts through surveys, but none have automated the study of cultural attire in movies. This work addresses that gap by developing a machine learning-based system to analyze movies and classify the attire of actresses as Indian or Western. Using tools such as OpenCV, TensorFlow, and face recognition libraries, the system extracts movie frames, detects actress presence, and categorizes attire. Results from around 100+ movies highlight a significant shift in representation, with Indian attire percentages varying from 1.44% to 99.72% across films. For example, Sholay (1975) demonstrated 99.72% Indian attire, while Genius (2018) depicted only 1.44%. These findings reveal trends correlating with cultural changes over decades. The work concludes that cinema plays a pivotal role in shaping fashion preferences, providing a foundation for further studies to include comprehensive cultural analyses. Future enhancements aim to broaden attire classification and explore thematic cultural representations.

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Attire Classification in Indian Cinema

  • 会议论文

  • 发表日期：

    2026年

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  • Niharika Patil,
  • Pradnya Patil,
  • Maitreyee Patil,
  • Khushi Jha,
  • Rashmi Apte,
  • Mangesh Bedekar,
  • Neeta Maitre

摘要

The increasing influence of cinema on fashion trends in India has prompted a need for data-driven analysis to quantify its impact. Prior research has explored general fashion classification or cultural impacts through surveys, but none have automated the study of cultural attire in movies. This work addresses that gap by developing a machine learning-based system to analyze movies and classify the attire of actresses as Indian or Western. Using tools such as OpenCV, TensorFlow, and face recognition libraries, the system extracts movie frames, detects actress presence, and categorizes attire. Results from around 100+ movies highlight a significant shift in representation, with Indian attire percentages varying from 1.44% to 99.72% across films. For example, Sholay (1975) demonstrated 99.72% Indian attire, while Genius (2018) depicted only 1.44%. These findings reveal trends correlating with cultural changes over decades. The work concludes that cinema plays a pivotal role in shaping fashion preferences, providing a foundation for further studies to include comprehensive cultural analyses. Future enhancements aim to broaden attire classification and explore thematic cultural representations.