Updated information for new dataset

Author: github-actions[bot]

README.md

@@ -136,6 +136,7 @@ You're now ready to use AgML for training your own models!
 [ghai_iceberg_lettuce_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_iceberg_lettuce_detection.md) | Object Detection | 500 |
 [riseholme_strawberry_classification_2021](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/riseholme_strawberry_classification_2021.md) | Image Classification | 3520 |
 [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 |
 
 ## Usage Information
 
@@ -166,4 +167,4 @@ 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.edu)
+This project is partly funded by the [National AI Institute for Food Systems (AIFS)](https://aifs.ucdavis.edu

agml/_assets/public_datasources.json

@@ -1217,6 +1217,18 @@
         "annotation_format": "image",
         "n_images": "2500",
         "docs_url": "https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_synthetic_earlygrowth_aerial.md",
-        "external_image_sources": []
+        "external_image_sources": [],
+        "stats": {
+            "mean": [
+                0.24804304540157318,
+                0.2218194305896759,
+                0.16611839830875397
+            ],
+            "std": [
+                0.10789012163877487,
+                0.12054657936096191,
+                0.08992248773574829
+            ]
+        }
     }
 }

agml/_assets/shape_info.pickle

@@ -0,0 +1,23 @@
+
+# `bean_synthetic_earlygrowth_aerial`
+
+## Dataset Metadata
+
+| Metadata | Value |
+| --- | --- |
+| **Classes** | leaves, branches |
+| **Machine Learning Task** | semantic_segmentation |
+| **Agricultural Task** | plant_segmentation |
+| **Location** | Digital, Digital |
+| **Sensor Modality** | RGB |
+| **Real or Synthetic** | synthetic |
+| **Platform** | aerial |
+| **Input Data Format** | JPG |
+| **Annotation Format** | image |
+| **Number of Images** | 2500 |
+| **Documentation** | https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_synthetic_earlygrowth_aerial.md |
+
+
+## Examples
+
+![Example Images for bean_synthetic_earlygrowth_aerial](https://github.com/Project-AgML/AgML/blob/main/docs/sample_images/bean_synthetic_earlygrowth_aerial_examples.png)