Datasets:

thisistaimur
/

DeepTrees_Halle

@@ -15,130 +15,27 @@ This is a toy dataset for show casing model training and fine-tuning in tree cro
 ## Dataset Details
-We have taken a single 2x2 km DOP20 image tile for Halle, Sachsen-Anhalt, from LVermGeo ST for the year of 2022. We then sliced the tiles into subtiles of 100x100m, resulting in 400 subtiles. We then manually labeled tree crowns in xx of the subtiles based on an entropy-based active learning approach. The label classes have been provided below.
-Halle DOP20: © [GeoBasis-DE / LVermGeo ST 2022](https://www.lvermgeo.sachsen-anhalt.de/de/gdp-digitale-orthophotos.html)
-### Dataset Description
-- **Curated by:** Taimur Khan
-- **Funded by:** Helmholtz Center for Environmental Research - UFZ
-### Dataset Sources [optional]
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-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
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-### Direct Use
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-### Out-of-Scope Use
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-## Dataset Structure
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-## Dataset Creation
-### Curation Rationale
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-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
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-#### Who are the source data producers?
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-### Annotations [optional]
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-#### Annotation process
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-#### Personal and Sensitive Information
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-## Bias, Risks, and Limitations
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-### Recommendations
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
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 ## Dataset Details
+We have taken a single Multispectral (RGBi) 2x2 km DOP20 image tile for Halle, Sachsen-Anhalt, from LVermGeo ST for the year of 2022.
+We then sliced the tiles into subtiles of 100x100m `.tif` files, resulting in 400 subtiles.
+We are manually labelling tree crowns in these subtiles based on an entropy-based active learning approach. The label classes have been provided below.
+The labeling is done in QGIS and are provided as `.shp` files.
+Halle DOP20: © [GeoBasis-DE / LVermGeo ST 2022](https://www.lvermgeo.sachsen-anhalt.de/de/gdp-digitale-orthophotos.html)
+### Label Classes
+0 = tree
+1 = cluster of trees
+2 = unsure
+3 = dead trees (haven’t added yet)
+### Dataset Description
+- **Curated by:** Taimur Khan
+- **Funded by:** Helmholtz Center for Environmental Research - UFZ
+- **Contact:** [taimur.khan@ufz.de](mailto:taimur.khan@ufz.de)