1. Visualizing Data and Building Reports in Oracle Analytics Cloud
  2. Visualize Data
  3. Use Oracle Analytics Predictive Models and Oracle Machine Learning Models
  4. Use OCI Vision Models in Oracle Analytics
  5. Output Data Generated for Object Detection, Image Classification, and Text Detection Analysis Models

Output Data Generated for Object Detection, Image Classification, and Text Detection Analysis Models

When you analyze images using an OCI Vision model, the Oracle Analytics data flow generates data about the images. For example, 'Confidence' is the level of confidence of the prediction.

Face Detection

Output Column Type Description
ID Number The data for each face identified in each image is attributed a unique ID. For example, 1.00, 2.00, 3.00 and so on.

Confidence

Number

 Confidence level of the prediction that the image contains a face.

Quality Score

String

 Quality level used to to determine if a face is clear and unobstructed.

Line Vertex 1, Line Vertex 2, Line Vertex 3, Line Vertex 4

String

 The location (x and y coordinates) of the face.

Left/Right Eye Landmark

String

 Location of left and right eyes.

Nose Tip Landmark

String

 Location of the tip of the nose.

Left/Right Edge Of Mouth Landmark

String

 Location of the edge of the mouth.

Status Summary

String

 Brief summary of the model's output, for example, 'unsupported image type'. This column is blank on successful output.

Image File from Bucket

String

 The object storage URL of the image from the bucket specified. This column is included only when Input type is Bucket.

Image Classification

Output Column Type Description

Object Name

String

 Identified object name.

Confidence

Number

 Confidence score of the object detection on the scale of 0 to 1.

Parents

String

 Categorization of the identified object name.

Synonyms

String

 Not used.

Status Summary

String

 Brief summary of the model's output, for example, 'unsupported image type'. This column is blank on successful output.

Image File from Bucket

String

 The object storage URL of the image from the bucket specified. This column is included only when Input type is Bucket.

To locate the generated dataset, from the Oracle Analytics home page, navigate to Data, then Datasets.

Object Detection

Output Column Type Description

Object Name

String

 Identified object name.

Confidence

Number

 Confidence score of the object detection on the scale of 0 to 1.

Vertex 1, Vertex 2, Vertex 3, Vertex 4

String

 Vertices (x and y coordinates) of the highlighting box of the object identified, for example, x_1 = 0.001; y_1 = 0.0013333333333333333.

Parents

String

 Categorization of the identified object name.

Synonyms

String

 Not used.

Status Summary

String

 Brief summary of the model's output, for example, 'unsupported image type'. This column is blank on successful output.

Image File from Bucket

String

 The object storage URL of the image from the bucket specified. This column is included only when Input type is Bucket.

Text Detection

Output Column Type Description

Line Words

String

 Words detected and extracted as line.

Line Confidence

Number

 Confidence score of the line of words detected on the scale of 0 to 1.

Line Vertex 1, Line Vertex 2, Line Vertex 3, Line Vertex 4

String

 Vertices (x and y coordinates) of the highlighting box of the line, for example, x_1 = 0.001; y_1 = 0.0013333333333333333.

Word

String

 Words detected.

Word Confidence

String

 Confidence score of the words detected on the scale of 0 to 1.

Word Vertex 1, Word Vertex 2, Word Vertex 3, Word Vertex 4

String

 Vertices (x and y coordinates) of the highlighting box of the words identified. For example, x_1 = 0.001; y_1 = 0.0013333333333333333.

Status Summary

String

 Brief summary of the model's output, for example, 'unsupported image type'. This column is blank on successful output.

Image File from Bucket

String

 The object storage URL of the image from the bucket specified. This column is included only when Input type is Bucket.