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The present study introduces a new system named “Enhanced Image Caption Generator Using Deep Learning” that employs a revolutionary method to automatically provide meaningful descriptions for various photos. The suggested approach distinguishes itself from traditional rule-based or shallow learning techniques by integrating Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, for sequence generation and Convolutional Neural Networks (CNNs) for extracting image data. The primary objectives are to enhance comprehension of context, offer a user-friendly interface, and assess performance using the widely accepted BLEU metric.

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Enhanced Image Caption Generator Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Nalini Jagtap,
  • Tejaswini Patil,
  • Nijgururaj Ashtagi,
  • Aditya Nerkar,
  • Deepak Javalgi,
  • Rohan Dagale

摘要

The present study introduces a new system named “Enhanced Image Caption Generator Using Deep Learning” that employs a revolutionary method to automatically provide meaningful descriptions for various photos. The suggested approach distinguishes itself from traditional rule-based or shallow learning techniques by integrating Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, for sequence generation and Convolutional Neural Networks (CNNs) for extracting image data. The primary objectives are to enhance comprehension of context, offer a user-friendly interface, and assess performance using the widely accepted BLEU metric.