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metadata
language: en
license: mit
library_name: pytorch
model-index:
  - name: baseline
    results:
      - task:
          type: Geoscore
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: ranking
            value: 3361
      - task:
          type: Haversine Distance
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: distance
            value: 1814
      - task:
          type: Country classification
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: accuracy
            value: 68
      - task:
          type: Region classification
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: accuracy
            value: 39.4
      - task:
          type: Area classification
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: accuracy
            value: 10.3
      - task:
          type: City classification
        dataset:
          name: OSV-5M
          type: geolocation
        metrics:
          - type: accuracy
            value: 5.9

Model Card for baseline

Model Details

Model Description

Geolocation benchmark on OpenStreetView-5M dataset

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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