Software Engineering › Key terms › Y12 Software Automation › Image recognition
Image recognition
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 it is used in the test
Syllabus area: Y12 Software Automation.
Question types it can appear in
- Short answer: Define, outline or explain it and tie it to the scenario.
- Extended response: Use it as a supporting point linked to the stimulus.
- Multiple choice: Pick the option that matches the definition or example.
No past question in this bank is linked to this term yet. It can still be tested through the question types above.
Study links
- Flashcard: Image recognition in Software Automation (Year 12) · study that set
- Memorise: Applications of key ML algorithms
- Notes: Investigate common applications of key ML algorithms, including data analysis and… (Software Automation (Year 12))
- Notes: Applications of key ML algorithms (Software Automation (Year 12))
- Notes: Research models used by software engineers to design and analyse ML, including decision… (Software Automation (Year 12))
How to use it in an answer
A model sentence
“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
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.
Technique for the question types
- Short answer: One clear point per mark, use the stimulus and course terms, and answer the command word.
- Extended response: Plan with the command word, give a judgement or explanation supported by named details from the stimulus, use course terms and cover both sides when asked.
- Multiple choice: Read all four options, rule out wrong ones, pick one; no penalty for guessing so never leave blank.
Common mistakes
- Use the term exactly as the syllabus words it, then link it to the scenario in the question; the 2025 feedback repeatedly rewards using the stimulus.
- Answer the command word: outline gives main points only, explain gives a reason or cause, discuss gives both sides.
Related terms
Same group in the syllabus: Data analysis and forecasting · Virtual personal assistant