location-matcher

To find a location from a street view image, you can use image-based location matching to identify the exact address or coordinates of where the photo was taken. Upload the image and run the location matching script.

Yes, you can convert an address to coordinates or vice versa using geocoding and reverse geocoding features. This allows you to translate text descriptions of locations into precise map points.

The best way to locate coordinates from a text description is through text description matching. This feature analyzes detailed textual cues like distinctive landmarks to pinpoint the exact address.

Yes, you need Elasticsearch to perform reverse geocoding and location matching. Elasticsearch is a required dependency for searching and indexing the street view data used to identify locations.

Yes, location matching works with Python scripts for image processing and text analysis. These scripts handle the computational logic required to extract features from street view images and match them.

Limitations of locating addresses from street view images include the dependency on Elasticsearch for data searching and the requirement of clear image processing inputs. Obscure landmarks or generic descriptions may reduce matching accuracy.