Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,9 +9,7 @@ pinned: false
|
|
| 9 |
|
| 10 |
# Kadaster DST ποΈ
|
| 11 |
|
| 12 |
-
Welcome to the official Hugging Face organization for **Kadaster DST** β the data science team at the Dutch Cadastre DataScience Team. We develop and share models that support public data services and spatial information management in the Netherlands.
|
| 13 |
-
|
| 14 |
-
Our work focuses on leveraging machine learning and NLP to improve and streamline Kadaster workflows. Current models include:
|
| 15 |
|
| 16 |
- **Aardcode Detection**: Automatically identify 'aardcodes' (land classification codes) from unstructured data.
|
| 17 |
- **Werkaanbod Prediction**: Forecast incoming work volumes for efficient resource planning.
|
|
|
|
| 9 |
|
| 10 |
# Kadaster DST ποΈ
|
| 11 |
|
| 12 |
+
Welcome to the official Hugging Face organization for **Kadaster DST** β the data science team at the Dutch Cadastre DataScience Team. We develop and share models that support public data services and spatial information management in the Netherlands. Current models include:
|
|
|
|
|
|
|
| 13 |
|
| 14 |
- **Aardcode Detection**: Automatically identify 'aardcodes' (land classification codes) from unstructured data.
|
| 15 |
- **Werkaanbod Prediction**: Forecast incoming work volumes for efficient resource planning.
|