You need to read printed text from photos of street signs. Which capability fits?
Why B is the answer
Optical character recognition
OCR reads text from images.
In detail
- Optical character recognition reads printed text from images.
- Clear images give better results.
Use case
An illustrative scenario, not a real incident.
A mapping app reads street signs from photos. Optical character recognition turns the printed words into text.
See it in different ways
flowchart TD A["Image"] --> B["Classification: what is this?"] A --> C["Object detection: what and where?"] A --> D["OCR: what does it say?"]
mindmap
root((AI workloads))
Text
Sentiment
Key phrases
Entities
Speech
Recognition
Synthesis
Vision
Classification
Object detection
OCR
Documents
Information extraction
Generative
Text
Imagesflowchart LR S0["Photo"] --> S1["OCR"] --> S2["Text"]
Key point: OCR reads text in images.
Why the other options are wrong
- A. Image generation from a short description
- Image generation creates images.
- C. Text to speech
- Text to speech creates audio.
- D. Entity recognition
- Entity recognition needs text to begin with.