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Updates readme with recent diary posts about robosat
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README.md

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@@ -45,8 +45,12 @@ RoboSat is an end-to-end pipeline written in Python 3 for feature extraction fro
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Features can be anything visually distinguishable in the imagery for example: buildings, parking lots, roads, or cars.
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Have a look at
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/44145) where we first introduced RoboSat and show some results.
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/44321) where we extract building footprints based on drone imagery in Tanzania.
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/44145) where we first introduced RoboSat and show some results
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/44321) where we extract building footprints based on drone imagery in Tanzania
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/45042) where we summarize the v1.1 release
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/368726) where we summarize the v1.2 release
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/daniel-j-h/diary/368771) where we run robosat v1.2 on aerial imagery for Bavaria, Germany
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- [this OpenStreetMap diary post](https://www.openstreetmap.org/user/maning/diary/44462) where [Maning](https://github.com/maning) runs robosat on imagery from the Philippines
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The tools RoboSat comes with can be categorized as follows:
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- data preparation: creating a dataset for training feature extraction models

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