# Time Series Geo-Localization on BuildingsBench Northeast US Source: [Time Series Geo-Localization on BuildingsBench Northeast US]() Collection index: [llms.txt]() Data updated: 2026-06-09T08:23:30.353Z Evaluation of time series geo-localization models on the BuildingsBench Northeast US dataset, reporting accuracy at street, town, metro area, region, and country levels, along with median distance error. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Time Series Geo-Localization | | Dataset (including any stated split) | BuildingsBench Northeast US | | Metric | Accuracy@1km (Street) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy@1km (Street)](): Higher is better; unit: PERCENT. - [Accuracy@10km (Town)](): Higher is better; unit: PERCENT. - [Accuracy@25km (Metro Area)](): Higher is better; unit: PERCENT. - [Accuracy@200km (Region)](): Higher is better; unit: PERCENT. - [Accuracy@750km (Country)](): Higher is better; unit: PERCENT. - [Median Distance Error (km)](): Lower is better; unit: SCALAR. ## Recorded results | Method | Accuracy@1km (Street) | Result date | Report paper | | --- | --- | --- | --- | | GeoGNN | 13.372 | Not recorded | 6a279e4990966ade919bf933 | | TimesNet | 9.561 | Not recorded | 6a279e4990966ade919bf933 | | Retrieval-NN | 1.573 | Not recorded | 6a279e4990966ade919bf933 | | GeoCLIP | 1 | Not recorded | 6a279e4990966ade919bf933 | | Retrieval-LLM | 0.916 | Not recorded | 6a279e4990966ade919bf933 | | Random Guess | 0.249 | Not recorded | 6a279e4990966ade919bf933 | ### GeoGNN Accuracy@1km (Street): 13.372. Result ID: 6a27cceafbc373592c247fab. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### TimesNet Accuracy@1km (Street): 9.561. Result ID: 6a27cceafbc373592c247fa7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Retrieval-NN Accuracy@1km (Street): 1.573. Result ID: 6a27cceafbc373592c247fa8. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GeoCLIP Accuracy@1km (Street): 1. Result ID: 6a27cceafbc373592c247faa. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Retrieval-LLM Accuracy@1km (Street): 0.916. Result ID: 6a27cceafbc373592c247fa9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Random Guess Accuracy@1km (Street): 0.249. Result ID: 6a27cceafbc373592c247fa6. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.