Image Analysis 3.2

In the Ultra Transcenders books

AI-901AI-103

Each book explains Image Analysis 3.2 in context, with comparison tables and the common traps.

Terms in this definition

• EARLIER

  Within nested DAX row contexts, lets an inner calculation read a column as it stood in an outer pass; EARLIEST jumps to the outermost. Most people now use variables, which read more clearly.

• Image Analysis

  Azure Vision API that returns several visual features in a single request: for instance tags, a caption, text recognised by Read OCR and the bounding boxes of detected objects.

• RANGE

  Usable only in visual calculations, this DAX function picks a span of rows along an axis counted from the current one, say the previous six. Think of it as a simpler WINDOW, handy for moving totals.

• Document Intelligence add-on capabilities

  Extra Document Intelligence options switched on with the features query parameter: barcodes, formulas, keyValuePairs, languages, ocrHighResolution, queryFields and styleFont.

• Image tagging

  An Image Analysis feature producing single-word tags, each with a confidence score, for actions, scenery, objects and living things in an image.

• Description (Image Analysis 3.2)

  Visual feature in Image Analysis 3.2 that produces natural-language caption sentences sorted by confidence, read from Description.Captions[0].Text. Version 4.0 swaps it for Caption.

• Color scheme detection

  Tells you the main foreground, background and accent colours of a picture and whether it is black and white; part of Image Analysis 3.2.

Related terms

• Adult content detection

  Image Analysis 3.2 capability, needing no training, that flags images through isAdultContent, isRacyContent and isGoryContent with scores between 0 and 1. Newer moderation is offered by Azure AI Content Safety.

• Brand detection

  Recognises the logos of thousands of well-known brands from a built-in catalogue, giving back each name with a confidence and bounding box; available in Image Analysis 3.2, and your own logos call for a trained custom model.

• Domain-specific content detection

  Image Analysis 3.2 capability, via analyzeImageByDomain or the details parameter, that identifies landmarks or celebrities and returns their names rather than a descriptive caption.

• Face detection (Image Analysis)

  Image Analysis 3.2 capability returning a bounding rectangle per face found. Identifying or verifying people requires the Face service instead.

• Image type detection

  A feature only in Image Analysis 3.2 that flags line drawings and scores clip art from 0 to 3. Descriptions and object detection do not determine image type.