**Week: **Dec 7 - Dec 13
**Task:** Identify the best strategy/APIs to find Commons categories that are within a certain radius of the specified GPS coordinates
**Deliverable: ** Wiki memo: cURL requests that provide the right categories (30% false positives OK) for all possible use cases and edge cases
I will be using https://github.com/nicolas-raoul/apps-android-commons/wiki/Location-based-category-search to document the results of testing the categories obtained via different APIs/strategies against the benchmark of categories that have been manually entered (by the Commons community or by myself) for each picture.
Pictures are found by:
# Visiting https://commons.wikimedia.org/wiki/Special:Random/File
# Eliminating files that are not photos or could not possibly be obtained via a smartphone
# File must have location data available
For each picture, I aim to perform a comparison for instance:
- WikiData API: 3 good categories, 2 false positives
- Commons API: 1 good category, 0 false positive
- "Take categories of pictures taken at that place" strategy: 0 good category, 10 false positives
- Manually: 5 good categories
The score of each algorithm on a particular picture will tentatively be calculated as: number of (number of good categories - number of false positive / 3) / number of good categories found by human