Output Data Generated for Face Detection, 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, each prediction has a confidence score and a status summary.

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

Face Detection

Output Column Type Description

Confidence

Number

Specifies the confidence level of the prediction that the image contains a face.
ID Number Specifies a unique ID for each face identified in each image. For example, faces might have IDs 1.00, 2.00, and 3.00.

Image File from Bucket

String

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

Left/Right Edge Of Mouth Landmark

String

Specifies the location of the edge of the mouth.

Left/Right Eye Landmark

String

Specifies the location of left and right eyes.

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

String

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

Nose Tip Landmark

String

Specifies the location of the tip of the nose.

Quality Score

String

Specifies the quality score that is determined by whether the face is clear and unobstructed.

Status Summary

String

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

Image Classification

Output Column Type Description

Confidence

Number

Specifies the confidence score of the object detection on the scale of 0 to 1.

Image File from Bucket

String

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

Object Name

String

Specifies the identified object's name.

Parents

String

Specifies the categorization of the identified object name.

Status Summary

String

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

Synonyms

String

Not used.

Object Detection

Output Column Type Description

Confidence

Number

Specifies the confidence score of the object detection on the scale of 0 to 1.

Image File from Bucket

String

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

Object Name

String

Specifies the identified object's name.

Parents

String

Specifies the categorization of the identified object name.

Status Summary

String

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

Synonyms

String

Not used.

Vertex 1, Vertex 2, Vertex 3, Vertex 4

String

Specifies the highest points of the highlighted box surrounding an identified object. For example, x_1 = 0.001; y_1 = 0.0013333333333333333, and so on.

Text Detection

Output Column Type Description

Image File from Bucket

String

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

Line Confidence

Number

Specifies the 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

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

Line Words

String

Specifies the words detected and extracted as line.

Status Summary

String

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

Word

String

Specifies the words detected.

Word Confidence

String

Specifies the 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

Specifies the points of a box surrounding an identified word. For example, x_1 = 0.001; y_1 = 0.0013333333333333333.