Object identification vs location prediction

For location questions, yes. Bing Visual Search identifies objects in an image: it tells you 'this is a bridge' or 'this is a type of tree'. Oceanir predicts the geographic location where a photo was taken. Bing labels what is in the frame. Oceanir tells you where the frame is in the world.

Object identification (Bing Visual Search) classifies what appears in an image. It returns labels: bridge, cathedral, mountain, road sign. Location prediction (Oceanir) takes those visual cues and estimates the geographic coordinates where the photo was captured. One tells you what you are looking at. The other tells you where you are standing.

Only indirectly. Bing may identify a landmark and name it, which can imply a location. But Bing does not analyze the full scene to predict coordinates for ordinary photos without famous landmarks. Oceanir estimates location from any photo with sufficient visual cues, famous or not.

Use Bing Visual Search when you want to identify what is in a photo: a plant species, a product, a piece of furniture, a famous landmark. Use Oceanir when you want to verify where a photo was physically captured, including photos of ordinary streets, buildings, and landscapes with no famous landmarks.

Yes. Bing can identify objects in the frame, and that information can inform your interpretation of Oceanir's location prediction. For example, Bing identifies a specific type of road sign, and Oceanir uses the sign style plus other cues to narrow the location to a country or region.