Merge branch 'main' into dependabot/npm_and_yarn/docs/babel/runtime-corejs3-7.27.0

Author: Tyler Romero

docs/docs/answer-modes/answer-modes.md

@@ -1,10 +1,11 @@
 # Detector Answer Modes
 
 Groundlight offers several detector modalities to suit different computer vision tasks. While previous examples have focused on binary classification, this guide will walk you through using counting and multi-class detectors. Let's explore how these different modes can be used via the Groundlight SDK.
+![Examples of Computer Vision Answer Modes](https://cdn.prod.website-files.com/664b7cc2ac49aeb2da6ef0f4/67f99ecc0c0e8843cb706dd0_Examples_of_Computer_Vision_Answer_Modes.png)
 
 - **[Binary Detectors](1-binary-detectors.md)**: Learn how to create detectors that answer yes/no questions about images.
 - **[Multiple Choice (Choose One) Detectors](2-multi-choice-detectors.md)**: Create detectors that select one answer from a predefined list of options.
 - **[Count Detectors](3-counting-detectors.md)**: Use detectors to count the number of objects present in an image - and return bounding boxes around the counted objects.
 <!-- 4. [Text Recognition Detectors](4-text-recognition-detectors.md) -->
 
-<!-- TODO: object detection modes -->
+<!-- TODO: object detection modes -->

docs/docs/getting-started/getting-started.mdx

@@ -12,6 +12,9 @@ sophisticated computer vision accessible to everyone.
 
 Don't code? No problem! [Contact our team](mailto:support@groundlight.ai) and we'll build a custom solution tailored to your needs.
 
+In this example, we'll build a simple eagle detector that can analyze live video streams and tell us if there are baby eagles being fed.
+![Eagle Detector](/img/eagle_detector.png)
+
 ### Prerequisites
 Before diving in, you'll need:
 1. A [Groundlight account](https://dashboard.groundlight.ai/) (sign up is quick and easy!)
@@ -97,7 +100,7 @@ from groundlight import Groundlight, Detector, ImageQuery
 gl = Groundlight()
 detector: Detector = gl.get_or_create_detector(
     name="eagle-detector",
-    query="Is there an eagle visible?",
+    query="Are the baby eagles being fed??",
 )
 
 # Big Bear Bald Eagle Nest livestream

docs/package-lock.json

@@ -84,7 +84,7 @@ rule_request = RuleRequest(
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },

docs/static/img/eagle_detector.png

@@ -59,7 +59,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },

generated/README.md

@@ -1,11 +1,10 @@
 # AnnotationsRequestedEnum
 
-* `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
+**value** | **str** |  |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 

generated/docs/ActionsApi.md

@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **label** | **str** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "binary_classification"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
 

generated/docs/AnnotationsRequestedEnum.md

@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **label** | **str** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "bounding_box"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
 

generated/docs/BinaryClassificationResult.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**verb** | [**VerbEnum**](VerbEnum.md) |  | 
+**verb** | **str** |  | 
 **parameters** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]