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Item 307 of 426 · Year 12: Software Automation, 14 of 35

Image recognition

Term

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Definition

ML identifying objects, faces or text in images, usually with neural networks trained on many labelled images.

Example: Detect faces in photos.

Found in: syllabus, sample exam and familiarisation guidelines, school notes.

Where you'll use it in the test

Syllabus area: Y12 Software Automation.

Question types it can appear in

How to use it

A model sentence

General advice, built from the definition and example above

“ML identifying objects, faces or text in images, usually with neural networks trained on many labelled images.” Then apply it: Detect faces in photos.

In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.

Command words used with it

General advice

No linked question shows the command word for this term. Across the past short answer and extended response questions in this bank the words used most are: Explain, Outline, Describe, Compare, Classify, Analyse. Check the actual word in your question.

Go deeper

Check yourself

Explain “Image recognition” in one sentence, give an example, and name a question type that could test it.

Reveal the answer

ML identifying objects, faces or text in images, usually with neural networks trained on many labelled images.

Example: Detect faces in photos.

Could be tested as: Short answer, Extended response, Multiple choice.

Quick multiple choice

Which is an example of image recognition?

  1. A phone unlocking when it recognises its owner's face
  2. A calculator adding two numbers
  3. A spreadsheet sorting names
  4. A thermostat switching on at 7 am
Show the answer

A

Image recognition classifies or identifies content in images (faces, objects, medical scans). Virtual personal assistants use speech/language models.

Source: original (written for this study pack; not a NESA question). Open it in the multiple-choice bank.