diff --git a/README.md b/README.md
index 97dcd21..157f02b 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# Binarization
+# sbb_binarization
-> Binarization for document images
+> Document Image Binarization using pre-trained models
[![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=shield)](https://circleci.com/gh/qurator-spk/sbb_binarization)
@@ -10,28 +10,35 @@
-## Introduction
-
-This tool performs document image binarization using a trained ResNet50-UNet model.
-
## Installation
-Clone the repository, enter it and run
+Python versions `3.7-3.10` are currently supported.
-`pip install .`
+You can either install via
-### Models
+```
+pip install sbb-binarization
+```
-Pre-trained models in HDF5 format can be downloaded from here:
+or clone the repository, enter it and install (editable) with
-https://qurator-data.de/sbb_binarization/
+```
+git clone git@github.com:qurator-spk/sbb_binarization.git
+cd sbb_binarization; pip install -e .
+```
-We also provide models in Tensorflow SavedModel format via Huggingface and Github release assets:
+### Models
-https://huggingface.co/SBB/sbb_binarization
-https://github.com/qurator-spk/sbb_binarization/releases
+Pre-trained models can be downloaded from the locations below. We also provide the models and [model card](https://huggingface.co/SBB/sbb_binarization) on 🤗
-With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](Tensorflow SavedModel) to deploy models, e.g.
+| Version | Format | Download |
+|----------|:-------------:|-------|
+| 2021-03-09 | `SavedModel` | https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2021_03_09.zip |
+| 2021-03-09 | `HDF5` | https://qurator-data.de/sbb_binarization/2021-03-09/models.tar.gz |
+| 2020-01-16 | `SavedModel` | https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2020_01_16.zip |
+| 2020-01-16 | `HDF5` | https://qurator-data.de/sbb_binarization/2020-01-16/models.tar.gz |
+
+With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](https://ocr-d.de/en/models) to deploy models, e.g.
ocrd resmgr download ocrd-sbb-binarize "*"
@@ -40,11 +47,13 @@ With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](Tensorflow S
```sh
sbb_binarize \
- -m \
\