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. |