This demo identifies pixel level changes in two images, reference and test, taken at different point in time. It uses the VisualChangeNet model trained on land satellite imagery dataset to identify changes in land over time. This is a semantic segmentation model that identifies 10 different types of changes in landscape.

Reference Image*

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Test Image*

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GOVERNING TERMS: GOVERNING TERMS: Your use of this API is governed by the NVIDIA API Trial Service Terms of Use; and the use of this model is governed by the NVIDIA AI Foundation Models Community License.

Output

Legend

Farmland to desert

Building to desert

Water to desert

Farmland to building

Desert to building

Desert to farmland

Building to farmland

Water to farmland

Desert to water