Context Insights detectors download page

test

Here is a list of detectors already trained. They can be executed in ContextCapture, Orbit Feature Extraction Pro and Reality Data Analysis Service to run Annotation jobs.
Each detector was trained:

For a specific purpose
On a specific dataset

Meaning, while running on your dataset, each detector type can only be used for the same specific type of job.

The quality of the detection will depend on the similarity between your dataset and the training dataset’s description.

If using ContextCapture, we recommend you to update your version to the latest one.

In case no detector fits your purpose, you are welcome to submit a help ticket from your personal portal describing your expectations.

Name	Detector Type	Description	Illustration	Links
Cracks Ortho	Orthophoto Segmentation	Detect cracks in concrete infrastructure to enable defect inspection workflows. Dataset used: drone + handheld Resolution: around 1cm/pix Geographic area: multiple		ContextCapture Update 19 Orbit 3DM FE Pro 22.04 RDAS
RoofsA	Orthophoto Segmentation	Dataset used: vertical/aerial mapping camera Resolution: around 30cm/pix Geographic area: multiple		ContextCapture Update 19 Orbit 3DM FE Pro 22.04 RDAS
RoofsB	Orthophoto Segmentation	Dataset used: vertical/aerial mapping camera Resolution: around 7.5cm/pix Geographic area: Christchurch - New Zealand		ContextCapture Update 19 Orbit 3DM FE Pro 22.04 RDAS
Face & License plates	Photo Object Detection	Detect faces and license plates to enable anonymization workflows. Dataset Used: mobile mapping device - Panoramas Resolution: N/A Geographic area: Western Europe		ContextCapture Update 19 Orbit 3DM FE Pro 22.04 RDAS
Cracks	Photo Segmentation	Detect cracks in concrete infrastructure to enable defect inspection workflows. Dataset used: drone + handheld Resolution: around 1cm/pix Geographic area: multiple		ContextCapture Update 19 Orbit 3DM FE Pro 22.04 RDAS
Cracks3d	Photo Segmentation	Detect cracks in concrete infrastructure to enable defect inspection workflows. Dataset used: drone + handheld Resolution: around 1cm/pix Geographic area: multiple		RDAS

Here is a list of sample datasets. They can be used to test the detectors above and the use of services like RDAS.
To use one of the examples, you must replace the absolute path inside the "References" tag of the example's ContextScene.xml file with the absolute path leading to where the images were saved.

Name	Illustration	Link
Orthophoto Segmentation / Roofs		Download
Photo Object / Face and License Plates		Download
Photo Segmentation / Cracks		Download
Photo Segmentation / Cracks3d		Download