Barbados Traffic Analysis Challenge
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Helping Barbados
$11 000 USD
Completed (4 months ago)
Computer Vision
Prediction
Object Tracking
Video Analytics
Deep Learning
1840 joined
216 active
Start
Nov 07, 25
Close
Jan 25, 26
Reveal
Jan 26, 26
Can you clarify the phrase "Back-propagation is not allowed in training or inference."
Notebooks · 10 Dec 2025, 12:16 · 3
"Back-propagation is not allowed in training or inference."
This is stated in the info section. Surely we are allowed to train the model for better performance during the inference phase?
The way I understand it from this discussion: 🚆 Trending Now: 🚧 Challenge Update! - 751 Views:
We have minutes 1 to 15 available as input for the test segments, and the task is to forecast minutes 17, 18, 19, 20, and 21 — the next 5 minutes, with a one-minute embargo (meaning minute 16 is excluded).
“Back-propagation” in this context means you’re not allowed to, say, use the prediction for minute 19 to help predict minute 18.
This also makes sense from a real-world perspective: you cannot say use information from minute 21 — which hasn’t happened yet — to predict congestion in minute 20 while minute 20 is occurring.
Much appreciated 👍🏽
It means the model is fixed—no weights are updated during training or inference, so you can’t use back-propagation to improve it while running predictions.