AWS bedrock documentation change
Summary
Restructured documentation by removing 'Defining Fields' section and consolidating blueprint examples. Added audio blueprint reference and updated markdown table formatting.
Security assessment
Changes focus on content reorganization and example formatting rather than addressing security vulnerabilities or describing security features. No security-related terminology or configurations were added/modified.
Diff
diff --git a/bedrock/latest/userguide/bda-idp-images.md b/bedrock/latest/userguide/bda-idp-images.md index 214e2e0a6..8a27f6869 100644 --- a//bedrock/latest/userguide/bda-idp-images.md +++ b//bedrock/latest/userguide/bda-idp-images.md @@ -15,61 +15 @@ BDA allows you to define the specific fields you want to identify from your imag -### Defining Fields - -To get started, you can create a field to identify the information you want to extract or generate, such as product_type. For each field, you need to provide a description, data type, and inference type. - -To define a field, you need to specify the following parameters: - - * _Description:_ Provides a natural language explanation of what the field represents. This description helps in understanding the context and purpose of the field, aiding in the accurate extraction of data. - - * _Type:_ Specifies the data type of the field's value. BDA supports the following types: - - * string: For text-based values - - * number: For numerical values - - * boolean: For true or false values - - * array: For fields that can have multiple values of the same type (e.g., an array of strings or an array of numbers) - - * _Inference Type:_ Instructs BDA on how to handle the response generation of the field's value. For images, BDA only support inferred inference type. This means that BDA infers the field value based on the information present in the image. - - - - -The following image shows "Add fields" module in the Amazon Bedrock console with the following example fields and values: - - * Field name: product_type - - * Type: String - - * Instruction: What is the primary product or service being advertised, e.g., Clothing, Electronics, Food & Beverage, etc.? - - * Extractions type: Inferred. - - - - - - -Here is an example of what that same field definition looks like in a JSON schema, for the API: - - - "product_type":{ - "type": "string", - "inferenceType": "inferred", - "description": "What is the primary product or service being advertised, e.g., Clothing, Electronics, Food & Beverage, etc.?" - } - -In this example: - - * The type is set to string, indicating that the value of the product_type field should be text-based. - - * The inferenceType is set to inferred, instructing BDA to infer the value based on the information present in the image. - - * The description provides additional context, clarifying that the field should identify the product type in the image. Example values for product_type field are: clothing, electronics, and food or beverage. - - - - -By specifying these parameters for each field, you provide BDA with the necessary information to accurately extract and generate insights from your images. - -#### Blueprint fields examples for advertisement images +### Blueprint fields examples for advertisement images @@ -79 +19 @@ Here are some examples of blueprint fields to analyze advertisement images. -Field | **Instruction** | **Extraction Type** | Type +**Field** | **Instruction** | **Extraction Type** | **Type** @@ -89 +29 @@ promotional_offer | Does the advertisement include any discounts, offers, or pro -#### Examples of blueprint fields for media search +### Examples of blueprint fields for media search @@ -93 +33 @@ Here are some examples of blueprint fields to generate metadata from images for -Field | **Instruction** | **Extraction Type** | Type +**Field** | **Instruction** | **Extraction Type** | **Type** @@ -113 +53 @@ Create Blueprints for Validation -Using the Bedrock Data Automation Console +Creating blueprints for audio