feat: dataset create

README.md

@@ -2125,7 +2125,8 @@ Create a new dataset.
 dataset = client.create_dataset(
     name="Japanese Dogs",
     slug="japanese-dogs",
-    type="image"
+    type="image",
+    annotation_type="image_bbox"
 )
 ```
 
@@ -2681,10 +2682,11 @@ if __name__ == '__main__':
 ```
 
 ## Model Monitoring
+
 ### Create Request Results
-You can integrate the results of model endpoint calls, 
-which are targeted for aggregation in model monitoring, from an external source.
 
+You can integrate the results of model endpoint calls,
+which are targeted for aggregation in model monitoring, from an external source.
 
 ```python
 from datetime import datetime

examples/create_dataset.py

@@ -0,0 +1,13 @@
+from pprint import pprint
+
+import fastlabel
+
+client = fastlabel.Client()
+
+dataset = client.create_dataset(
+    name="Japanese Dogs",
+    slug="japanese-dogs",
+    type="video",
+    annotation_type="image_bbox",
+)
+pprint(dataset)

fastlabel/__init__.py

@@ -33,7 +33,6 @@
 
 
 class Client:
-
     api = None
 
     def __init__(self):
@@ -3315,19 +3314,22 @@ def create_dataset(
         type: str,
         name: str,
         slug: str,
+        annotation_type: str,
     ) -> dict:
         """
         Create a dataset.
 
         type can be 'image', 'video', 'audio' (Required).
         name is name of your dataset (Required).
         slug is slug of your dataset (Required).
+        annotation_type can be 'none', 'image_bbox' (Required).
         """
         endpoint = "datasets"
         payload = {
             "type": type,
             "name": name,
             "slug": slug,
+            "annotationType": annotation_type,
         }
         return self.api.post_request(endpoint, payload=payload)