Overview
The Nearmap Damage Classifications AI provides AI-derived damage classifications for Building Lifecycle features via the AI Feature API. Based on Gen 6 AI and a specialized model built to specifically detect the severity of damage, these damage classifications enable remote and efficient triaging of properties impacted by a catastrophic event, as well as informing effective response planning. Additionally, carriers can compare the condition of a building across different survey dates to better evaluate its insurable value.
NOTE: We recommend that you cross-check the results from this with MapBrowser imagery or imagery from another source. For more information, see Statistical Performance.
Requirements
To access the damage detection data in Damage Classifications AI, you must have access to the following:
- AI Feature API
- Damage Classifications product
- An AI pack that provides access to the Building Lifecycle layers (ID 91987430-6739-
5e16-b92f-b830dd7d52a6)
Damage classifications are only produced for Building Lifecycle features.
Real-time damage classifications are not available on bulk requests. If the real-time damage supplementary data source is selected as a part of a bulk request, the system will return an error.
Availability
Damage Classifications AI is available on survey resources with the following Gen 6 AI system versions or newer versions:
gen6-glowing_lantern-1.0gen6-glowing_grove-1.0
Before you start
It is recommended that you review this section before you start using Damage Classifications AI.
AI Packs
Post-cat surveys are special surveys run in the context of a catastrophe. Survey resources belonging to post-cat surveys cannot be accessed using packs that are marked as non-post-cat and vice versa. In the context of damage classifications:
packs=damage is a pack that includes the Building Lifecycle class and can be used to access postcat survey resources with damagepacks=damage_non_postcat is a pack that includes the Building Lifecycle class and can be used to access non-post-cat survey resources with damage
Data source
In order for damage classifications to be produced and attached, damage must be included as a supplementary data source using the include query parameter. You can do this by either manually specifying damage as a parameter to include or specifying all as a parameter to include, which will then include all data sources available to the user.
Examples
include=damageinclude=damage,roofSpotlightIndex
Note: Additional data sources such as damage and Roof Spotlight Index (RSI) are only available on gen6 system versions. The systemVersionPrefix or systemVersion query parameters must be set.
Learn how to access Damage Classifications AI and browse code examples for date-based and resource-based access.
Data model report
Attached below is the Damage Classifications AI data model report. Click the link to download the report.