diff --git a/README.md b/README.md
index c150683..677d3c4 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,10 @@
> Binarization for document images
+[![pip release](https://img.shields.io/pypi/v/sbb-binarization.svg)](https://pypi.org/project/sbb-binarization/)
+[![CircleCI test](https://circleci.com/gh/qurator-spk/sbb_binarization.svg?style=svg)](https://circleci.com/gh/qurator-spk/sbb_binarization)
+[![GHAction test](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
+
## Examples
@@ -22,9 +26,10 @@ Pre-trained models in HDF5 format can be downloaded from here:
https://qurator-data.de/sbb_binarization/
-We also provide a Tensorflow `saved_model` via Huggingface:
+We also provide models in Tensorflow SavedModel format via Huggingface and Github release assets:
https://huggingface.co/SBB/sbb_binarization
+https://github.com/qurator-spk/sbb_binarization/releases
With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](Tensorflow SavedModel) to deploy models, e.g.
@@ -59,7 +64,7 @@ For simple smoke tests, the following will
- download models
- download test data
- run the OCR-D wrapper (on page and region level):
-
-
- make model
- make test
+
+ make model
+ make test
+
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