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## Annotation tools with Geotiff support
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Relatively few annotation tools support Geotiffs directly. If not in this list, assume they just support PNG & JPEG image formats
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*[Groundwork](https://element84.com/groundwork/) -> A free image labeling tool for creating custom training datasets from satellite imagery
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*[Kili](https://kili-technology.com/) -> read [How to import multi-layer geosat assets to a Kili project](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/importing_multilayer_geosat_assets/)
*[Kili](https://kili-technology.com/) -> see their docs for importing multi-layer geosat assets
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*[labelbox.com](https://labelbox.com/) -> watch their webcast on building AI productsfromtheground up
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*[diffgram](https://github.com/diffgram/diffgram) describes itself as a complete training data platform for machine learning delivered as a single application, supports [streaming data to pytorch & tensorflow](https://medium.com/diffgram/stream-training-data-to-your-models-with-diffgram-f0f25f6688c5). [COGS can be annotated](https://diffgram.readme.io/docs/geospatial-annotation-guide)
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*[iris](https://github.com/ESA-PhiLab/iris) -> Tool for manual image segmentation and classification of satellite imagery
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* If you are considering building an in house annotation platform [read this article](https://medium.com/earthcube-stories/ai-products-and-remote-sensing-yes-it-is-hard-and-yes-you-need-a-good-infra-4b5d6cf822f1). Used PostGis database, GeoJson format and GIS standard in a stateless architecture
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