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Unido AfricaRice App Builder Challenge

Helping Ghana
$5 000 USD
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App Development
Model Deployment
281 joined
59 active
Starti
Feb 18, 26
Closei
Mar 01, 26
Reveali
Mar 13, 26
Clarification on inference accuracy & speed
27 Feb 2026, 16:49 · 1

Hi team!

Currently it is stated that results should be returned in few seconds. What these "few seconds" mean. Sub 1 minute or 30s or even lower 10s-20s range.

How they are supposed to be used in field, even as an initial assessment tools, a 5-10s model that has much lower accuracy than a sub 1 minute has no point.

Please clarify why few seconds results return matter that much that you have not asked for any accuracy numbers on test set.

Discussion 1 answer
User avatar
meganomaly
Zindi

Hi @amadahmads

Thanks for the question - and you’re right to call out that “a few seconds” can mean very different things.

For this challenge, please interpret the requirement as: results should be returned ideally in under 1 minute per assessment on a typical mid-range Android device (offline).

In practice, most usable solutions may likely fall in the 15–60 second range, but we recognise that:

  • Higher-capacity models may reasonably take longer
  • Field assessments are not always ultra time-critical
  • There can be a trade-off between inference speed and robustness

What matters most is that:

  • The app is practically usable in field conditions
  • The workflow remains smooth and reliable
  • The latency is justified by the quality and stability of results

We are not benchmarking pure model latency. Instead, we are assessing whether the solution is viable as a real-world offline assessment tool.

27 Feb 2026, 19:58
Upvotes 1