Updated information for new dataset

README.md

@@ -138,6 +138,7 @@ You're now ready to use AgML for training your own models!
 [ghai_broccoli_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_broccoli_detection.md) | Object Detection | 500 |
 [bean_synthetic_earlygrowth_aerial](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_synthetic_earlygrowth_aerial.md) | Semantic Segmentation | 2500 |
 [ghai_strawberry_fruit_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_strawberry_fruit_detection.md) | Object Detection | 500 |
+[vegann_multicrop_presence_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/vegann_multicrop_presence_segmentation.md) | Semantic Segmentation | 3775 |
 
 ## Usage Information
 
@@ -168,4 +169,4 @@ a bug or feature that you would like to see implemented, please don't hesitate t
 See the [contributing guidelines](/CONTRIBUTING.md) for more information.
 
 ## Funding
-This project is partly funded by the [National AI Institute for Food Systems (AIFS)](https://aifs.ucdavis.ed
+This project is partly funded by the [National AI Institute for Food Systems (AIFS)](https://aifs.ucdavis.e

agml/_assets/public_datasources.json

@@ -1287,6 +1287,18 @@
         "input_data_format": "png",
         "annotation_format": "image",
         "n_images": "3775",
-        "docs_url": "https://zenodo.org/records/7636408"
+        "docs_url": "https://zenodo.org/records/7636408",
+        "stats": {
+            "mean": [
+                16.39170265197754,
+                18.68538475036621,
+                14.235136985778809
+            ],
+            "std": [
+                4.590310573577881,
+                5.818269729614258,
+                4.1895012855529785
+            ]
+        }
     }
 }

docs/datasets/vegann_multicrop_presence_segmentation.md

@@ -0,0 +1,23 @@
+
+# `vegann_multicrop_presence_segmentation`
+
+## Dataset Metadata
+
+| Metadata | Value |
+| --- | --- |
+| **Classes** | plant |
+| **Machine Learning Task** | semantic_segmentation |
+| **Agricultural Task** | vegetation_segmentation |
+| **Location** | Worldwide |
+| **Sensor Modality** | RGB |
+| **Real or Synthetic** | real |
+| **Platform** | aerial |
+| **Input Data Format** | PNG |
+| **Annotation Format** | image |
+| **Number of Images** | 3775 |
+| **Documentation** | https://zenodo.org/records/7636408 |
+
+
+## Examples
+
+![Example Images for vegann_multicrop_presence_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/sample_images/vegann_multicrop_presence_segmentation_examples.png)