mark face attr retirement

Author: PatrickFarley

articles/ai-services/computer-vision/concept-face-detection.md

@@ -50,24 +50,17 @@ The Detection_03 model currently has the most accurate landmark detection. The e
 Attributes are a set of features that can optionally be detected by the [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236) API. The following attributes can be detected:
 
 * **Accessories**. Indicates whether the given face has accessories. This attribute returns possible accessories including headwear, glasses, and mask, with confidence score between zero and one for each accessory.
-* **Age**. The estimated age in years of a particular face.
 * **Blur**. The blurriness of the face in the image. This attribute returns a value between zero and one and an informal rating of low, medium, or high.
-* **Emotion**. A list of emotions with their detection confidence for the given face. Confidence scores are normalized, and the scores across all emotions add up to one. The emotions returned are happiness, sadness, neutral, anger, contempt, disgust, surprise, and fear.
 * **Exposure**. The exposure of the face in the image. This attribute returns a value between zero and one and an informal rating of underExposure, goodExposure, or overExposure.
-* **Facial hair**. The estimated facial hair presence and the length for the given face.
-* **Gender**. The estimated gender of the given face. Possible values are male, female, and genderless.
 * **Glasses**. Whether the given face has eyeglasses. Possible values are NoGlasses, ReadingGlasses, Sunglasses, and Swimming Goggles.
-* **Hair**. The hair type of the face. This attribute shows whether the hair is visible, whether baldness is detected, and what hair colors are detected.
 * **Head pose**. The face's orientation in 3D space. This attribute is described by the roll, yaw, and pitch angles in degrees, which are defined according to the [right-hand rule](https://en.wikipedia.org/wiki/Right-hand_rule). The order of three angles is roll-yaw-pitch, and each angle's value range is from -180 degrees to 180 degrees. 3D orientation of the face is estimated by the roll, yaw, and pitch angles in order. See the following diagram for angle mappings:
 
     ![A head with the pitch, roll, and yaw axes labeled](./media/headpose.1.jpg)
 
     For more information on how to use these values, see the [Head pose how-to guide](./how-to/use-headpose.md).
-* **Makeup**. Indicates whether the face has makeup. This attribute returns a Boolean value for eyeMakeup and lipMakeup.
 * **Mask**.  Indicates whether the face is wearing a mask. This attribute returns a possible mask type, and a Boolean value to indicate whether nose and mouth are covered.
 * **Noise**. The visual noise detected in the face image. This attribute returns a value between zero and one and an informal rating of low, medium, or high.
 * **Occlusion**. Indicates whether there are objects blocking parts of the face. This attribute returns a Boolean value for eyeOccluded, foreheadOccluded, and mouthOccluded.
-* **Smile**. The smile expression of the given face. This value is between zero for no smile and one for a clear smile.
 * **QualityForRecognition** The overall image quality regarding whether the image being used in the detection is of sufficient quality to attempt face recognition on. The value is an informal rating of low, medium, or high. Only "high" quality images are recommended for person enrollment, and quality at or above "medium" is recommended for identification scenarios.
     >[!NOTE]
     > The availability of each attribute depends on the detection model specified. QualityForRecognition attribute also depends on the recognition model, as it is currently only available when using a combination of detection model detection_01 or detection_03, and recognition model recognition_03 or recognition_04.

articles/ai-services/computer-vision/includes/identity-sensitive-attributes.md

@@ -11,5 +11,5 @@ ms.author: pafarley
 ---
 
 > [!CAUTION]
-> Microsoft will be retiring facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Existing customers have until June 30, 2023 to discontinue use of these capabilities before they are retired. Read more about this decision [here](https://azure.microsoft.com/blog/responsible-ai-investments-and-safeguards-for-facial-recognition/).
+> Microsoft has retired facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Read more about this decision [here](https://azure.microsoft.com/blog/responsible-ai-investments-and-safeguards-for-facial-recognition/).