nvidia

visual-changenet

PREVIEW

Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask

image segmentation nvidia nim tao toolkit computer vision cv image image generation video vlm

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API Reference

Input

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*

image.png

jpg, jpeg, png

Test Image*

image.png

jpg, jpeg, png

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