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Truck detection


An algorithm that detects and quantifies trucks in Pléiades imagery using wide area object detection. Truck detection can be used for supply chain and logistics management, traffic management, and urban planning.

Technical information

SourcePléiades tasking or catalog collections
Compatibility- The STAC item should be a Pléiades image of the display radiometric processing level
- The STAC item should have been added to storage in 2023 or later
Required parameters- Console: If your chosen input data meets the above specifications you will be able to run your job
- API: You will need to input an Output title and the Input data
Output data formatGeoJSON file: with point detections corresponding to the location of trucks
OutputThe result will be added to your account as a STAC item in a new STAC collection. You can retrieve the resulting data in one of the following ways:
- Open the console, go to Data managementJobs
- Retrieve the results via the API

Algorithm performance and training data

The algorithm has been qualified on a large set of data encompassing different types of landscapes worldwide by a third party, with a good level of performances. The algorithm performance will vary according to geography and imagery features.

This algorithm was tested by a 3rd party using a validation set, consisting of approximately 5,000 marked trucks in 50 countries spanning 6 continents. The training set contains 50,000 images and spans many variable conditions including time of day, time of year, terrain, configuration of vehicles, etc.

Further information

For more information, please visit the technical documentation.

Terms & conditions

View the End User License Agreement conditions

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