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AI2024년 8월 28일5 min read

AI 이미지 캡셔닝: 기계가 보는 것을 설명하는 방법

이 기사는 영어로 제공됩니다. 인터페이스는 한국어로 번역되었습니다.

Image captioning combines computer vision and natural language processing to generate human-readable descriptions of images.

How Image Captioning Works

Modern captioning models use an encoder-decoder architecture:

1. Vision Encoder (e.g., ViT): Extracts visual features from the image

2. Language Decoder (e.g., GPT-2): Generates text based on those features

3. Attention mechanism: Focuses on relevant image regions while generating each word

Applications

  • Accessibility: Alt text for screen readers
  • SEO: Automatic image descriptions for search engines
  • Content management: Organizing photo libraries
  • Social media: Auto-generating captions for posts
  • Tips for Better Captions

  • Use high-quality, well-lit images
  • Center the main subject
  • Avoid heavily filtered or artistic images
  • Verify and edit generated captions for accuracy
  • Generate captions for any image with our Image Captioner tool.

    Need finer-grained labels instead of a single caption? Our Image Classifier returns the top-5 predictions with confidence scores.

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