Changes for Vine Virus Dataset

README.md

@@ -157,6 +157,9 @@ model.run_training(loader)
 [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 |
+[corn_maize_leaf_disease](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/corn_maize_leaf_disease.md) | Image Classification | 4188 |
+[tomato_leaf_disease](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/tomato_leaf_disease.md) | Image Classification | 11000 |
+[vine_virus_photo_dataset](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/vine_virus_photo_dataset.md) | Image Classification | 3866 |
 
 ## Usage Information
 
@@ -187,4 +190,4 @@ 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

@@ -1365,7 +1365,19 @@
         ],
         "annotation_format": "directory_names",
         "n_images": "11000",
-        "docs_url": "https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf?resource=download"
+        "docs_url": "https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf?resource=download",
+        "stats": {
+            "mean": [
+                0.45274582505226135,
+                0.46330446004867554,
+                0.41868868470191956
+            ],
+            "std": [
+                0.16920873522758484,
+                0.14771881699562073,
+                0.18538568913936615
+            ]
+        }
     },
     "vine_virus_photo_dataset": {
         "classes": {
@@ -1383,9 +1395,26 @@
         "sensor_modality": "rgb",
         "real_synthetic": "real",
         "platform": "handheld/ground",
-        "input_data_format": ["jpg", "png", "jpeg", "JPG"],
+        "input_data_format": [
+            "jpg",
+            "png",
+            "jpeg",
+            "JPG"
+        ],
         "annotation_format": "directory_names",
         "n_images": "3866",
-        "docs_url": ""
+        "docs_url": "",
+        "stats": {
+            "mean": [
+                0.44989293813705444,
+                0.44891005754470825,
+                0.2950020432472229
+            ],
+            "std": [
+                0.2310590147972107,
+                0.2280452400445938,
+                0.23016883432865143
+            ]
+        }
     }
 }

agml/utils/data.py

@@ -79,7 +79,8 @@ def _bold(msg): # noqa
         'MIT': 'https://opensource.org/licenses/MIT',
         'GPL-3.0': 'https://opensource.org/licenses/GPL-3.0',
         'US Public Domain': 'https://www.usa.gov/government-works',
-        'CC0: Public Domain': 'https://creativecommons.org/publicdomain/zero/1.0/'}
+        'CC0: Public Domain': 'https://creativecommons.org/publicdomain/zero/1.0/',
+        'Apache 2.0': 'https://www.apache.org/licenses/LICENSE-2.0'}
     if license == '':
         license_msg = "This dataset has " \
                       + _bold("no license") + ".\n"

docs/datasets/tomato_leaf_disease.md

@@ -0,0 +1,25 @@
+
+# `tomato_leaf_disease`
+
+## Dataset Metadata
+
+| Metadata | Value |
+| --- | --- |
+| **Classes** | Bacterial Spot, Early Blight, Healthy, Late Blight, Leaf Mold, Septoria Leaf Spot, Spider Mites Two-spotted Spider Mite, Target Spot, Tomato Mosaic Virus, Tomato Yellow Leaf Curl Virus |
+| **Machine Learning Task** | image_classification |
+| **Agricultural Task** | disease_classification |
+| **Location** | Worldwide |
+| **Sensor Modality** | RGB |
+| **Real or Synthetic** | real |
+| **Platform** | handheld |
+| **Input Data Format** | JPEG |
+| **Annotation Format** | directory_names |
+| **Number of Images** | 11000 |
+| **Documentation** | https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf?resource=download |
+| **Stats/Mean** | [0.453, 0.463, 0.419] |
+| **Stats/Standard Deviation** | [0.169, 0.148, 0.185] |
+
+
+## Examples
+
+![Example Images for tomato_leaf_disease](https://github.com/Project-AgML/AgML/blob/main/docs/sample_images/tomato_leaf_disease_examples.png)

docs/datasets/vine_virus_photo_dataset.md

@@ -0,0 +1,23 @@
+
+# `vine_virus_photo_dataset`
+
+## Dataset Metadata
+
+| Metadata | Value |
+| --- | --- |
+| **Classes** | Leafroll 3, No Virus, Other Red, Red Blotch |
+| **Machine Learning Task** | image_classification |
+| **Agricultural Task** | vine_virus_photo |
+| **Location** | Worldwide |
+| **Sensor Modality** | RGB |
+| **Real or Synthetic** | real |
+| **Platform** | handheld/ground |
+| **Input Data Format** | jpg, png, jpeg, JPG |
+| **Annotation Format** | directory_names |
+| **Number of Images** | 3866 |
+| **Documentation** | None |
+
+
+## Examples
+
+![Example Images for vine_virus_photo_dataset](https://github.com/Project-AgML/AgML/blob/main/docs/sample_images/vine_virus_photo_dataset_examples.png)

scripts/generate_dataset_markdown.py

@@ -74,6 +74,8 @@ def handle(key, value):
         method = getattr(TableFormat, key, None)
         if method is not None:
             return method(value)
+        if isinstance(value, list):
+            value = ", ".join(value)
         if value == '': value = "None"
         return f'| **{substitutions[to_title(key)]}** | {substitutions[value]} |\n'