本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。
建立影像的藍圖
Amazon Bedrock Data Automation (BDA) 可讓您建立影像模態的自訂藍圖。您可以使用藍圖，來定義輸入檔案所需的輸出格式和擷取邏輯。您可以透過建立自訂藍圖，量身打造可滿足特定需求的 BDA 輸出。您可以在單一專案中套用單一影像藍圖。
定義影像的資料欄位
BDA 可讓您透過建立藍圖，定義要從影像中識別的特定欄位。這可作為一組指示，引導 BDA 了解要從影像中擷取和產生的資訊。
廣告影像的藍圖欄位範例
以下是一些可用來分析廣告影像的藍圖欄位範例。
| 欄位 | 指示 | 擷取類型 | Type |
| product_type | What is the primary product or service being advertised? Ex: Clothing, Electronics, Food & Beverage | inferred | string |
| product_placement | How is the product placed in the advertisement image, e.g., centered, in the background, held by a person, etc.? | inferred | string |
| product_size | Product size is small if size is less than 30% of the image, medium if it is between 30 to 60%, and large if it is larger than 60% of the image | inferred | string |
| image_style | Classify the image style of the ad. For example, product image, lifestyle, portrait, retro, infographic, none of the above. | inferred | string |
| image_background | Background can be" solid color, natural landscape, indoor, outdoor, or abstract. | inferred | string |
| promotional_offer | Does the advertisement include any discounts, offers, or promotional messages? | inferred | boolean |
可用於媒體搜尋的藍圖欄位範例
以下是一些藍圖欄位範例，示範如何從影像產生中繼資料以進行媒體搜尋。
| 欄位 | 指示 | 擷取類型 | Type |
| person_counting | How many people are in the image? | inferred | number |
| indoor_outdoor_classification | Is the image indoor or outdoor? | inferred | string |
| scene_classification | Classify the setting or environment of the image. Ex: Urban, Rural, Natural, Historical, Residential, Commercial, Recreational, Public Spaces | inferred | string |
| animal_identification | Does the image contain any animals? | inferred | boolean |
| animal_type | What type of animals are present in the image? | inferred | string |
| color_identification | Is the image in color or black and white? | inferred | string |
| vehicle_identification | Is there any vehicle visible in the image? | inferred | string |
| vehicle_type | What type of vehicle is present in the image? | inferred | string |
| watermark_identification | Is there any watermark visible in the image? | inferred | boolean |
