# Tips & tricks ### **Create multiple projects** To find all examples of what you are looking for, create multiple projects, each with different input labels. While you could label all on one map, the overall utility of search results will decline. For example: 1. Input labels for single logging roads may behave differently than labels for jumbled logging roads (near the actual current/past clearing site vs. road to access). 2. Input labels for roads in a village may produce different searches than roads in a forest. 3. Mining - creating different projects for large mines, small mines, and skinny mines on small tributaries. ### **Quality over Quantity** In looking through the predictions, find a couple instances of positive and negative labels within the predictions you think will help teach Earth Index to better find what you are looking for, instead of going through all of the predictions. Then try the search again and see if it improves. Labelling is a process of trial and error, so don't get discouraged if it takes a while to find the right dataset. ### Basemap note When exploring the toolbar, you have the ability to select which "Basemap" you would like to display on the interface. There are three options for Basemap including: Mapbox Satellite, Mapbook Outdoors, and Sentinel-2. The two Mapbox maps are intended to be a helpful reference for exploring the Earth, but Sentinel-2 is the primary satellite imagery. This imagery has been indexed into embeddings that are the core essence of Earth Index, allowing you to search across different tiles and find objects. Thus, when labeling tiles and running predictions, our algorithms use the embeddings based on Sentinel-2 imagery. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.earthindex.ai/concepts/tips-and-tricks.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.