DHI / DHI/tsod

Add benchmarking dataset with labelled anomalies for scoring performance of detector algorithms

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help wanted
Dominant language
Python
Stars
191
Forks
19
PR merge metrics
No merged PRs in 30d

Description

Do you know about any (open source) datasets at DHI that has labelled anomalies that we can use for testing? @ecomodeller @laurafroelich @akfDHI

Contributor guide

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Research direction

Start by reviewing the repository's existing dataset and detector evaluation entry points, then investigate whether DHI has an open-source dataset with labelled anomalies. Clarify the dataset format, anomaly labels, licensing, and scoring procedure before implementation. Done means an agreed benchmark dataset is available and can be used to compare detector performance reproducibly.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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