Ai Vision¶
Using Vision, you can upload images to detect and classify objects in them. |
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This class provides a wrapper around |
Models¶
The details of how to analyze a document. |
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The document analysis results. |
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The details of how to analyze an image. |
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The image analysis results. |
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Video analysis results. |
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Video stream analysis results. |
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The object-bounding polygon box. |
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A single cell in a table. |
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The compartment the model should be moved to. |
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Which compartment the project should be moved to. |
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Which compartment the streamGroup should be moved to. |
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Which compartment the streamJob should be moved to. |
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Which compartment the streamSource should be moved to. |
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Which compartment the visionPrivateEndpoint should be moved to. |
The batch document analysis details. |
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The details of the batch image analysis. |
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The information needed to create a new model. |
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The information needed to create a new project. |
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The information needed to create a stream group |
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The information needed to create new Streamjob |
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The information needed to create stream source |
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Details about the video analysis. |
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The information needed to create a new visionPrivateEndpoint. |
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The dataset created by the Data Labeling Service. |
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The base entity which is the input for creating and training a model. |
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The detected document type. |
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The language detected in a document. |
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The width and height of a page. |
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Identifying the document type. |
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The details of a document to analyze. |
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The type of document analysis. |
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Form field. |
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The job details for a batch document analysis. |
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Extracting form fields. |
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Detecting the language of the document. |
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The document information. |
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Detecting and extracting data in tables. |
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Text recognition |
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The detected face. |
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The face detection parameters. |
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The face embedding parameters |
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The label in a field. |
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The name of a form field. |
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The value of a form field. |
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The image classification parameters. |
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The details of an image to analyze. |
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The type of image analysis. |
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The job details for a batch image analysis. |
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The object detected in an image. |
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The object detection parameters. |
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The detected text. |
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The text detection parameters. |
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The document incorporated in the request payload. |
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The image incorporated in the request payload. |
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The location of the inputs. |
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A label describing an image. |
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The landmark on the face. |
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The line of text. |
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Machine-learned Model. |
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The results of a model search. |
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The metadata about the model. |
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Model version for object detection/tracking. |
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An (x, y) coordinate in the image with dimensions normalized from zero to one. |
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A list of object locations in Object Storage. |
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A location in Object Storage that is uniquely identified by namespace name, bucket name and object name. |
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Properties associated with the object. |
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A property of a tracked object in a frame. |
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The dataset that resides in Object Storage. |
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A document in OCI Object Storage. |
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The image residing in OCI Object Storage. |
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The Object Storage Location. |
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Images and ImageObjects can be labeled with an OntologyClass. |
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The Object Storage Location. |
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One page document analysis result. |
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Details of private endpoint to connect to stream |
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The error in document processing. |
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A Vision Project containing models. |
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The results of a project search. |
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the metadata about the project. |
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Details of RtspDevice |
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Details for a Stream Group |
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The results of a streamGroup search. |
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List of streamSource OCIDs that have overlapping fields of view |
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Summary for a Stream Group |
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Job details for a stream analysis. |
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The results of a stream job search. |
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Job details for a stream analysis. |
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Details about a stream Connection type |
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Details about a where results will be Sent |
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Stream source information |
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The results of a streamSource search. |
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Details about a stream source |
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Video stream analysis results. |
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The table extracted from a document. |
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A single row in a table. |
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Details of what to track. |
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The metadata which can be edited after model creation. |
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The metadata that can be edited after project creation. |
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The information needed to create a stream group |
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The information needed to update streamjob |
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The information needed to update stream source |
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The metadata that can be edited after visionPrivateEndpoint creation. |
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The array of field values. |
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The date field value. |
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The integer field value. |
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The floating point number field value. |
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The phone number field value. |
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The string field value. |
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The time field value. |
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Detected face in a video. |
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Video face detection feature |
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A face frame. |
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A face segment in a video. |
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Details about a video feature request. |
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Job details for a video analysis. |
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Detected label in a video. |
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Video label detection feature |
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A label segment in a video. |
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Video information. |
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Detected object in a video. |
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Video object detection feature |
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An object frame. |
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An object segment in a video. |
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Video object tracking feature |
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A sequence of frames that was (or appears to be) continuously captured for a label/object/text?. |
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Video stream face detection feature |
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Details about a stream video feature request. |
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Video information. |
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Tracked object in a video stream. |
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Video stream object detection feature |
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Video stream object tracking feature |
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Detected text in a video. |
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Video text detection feature |
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A text frame. |
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A text segment in a video. |
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Tracked object in a video. |
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Properties of a tracked object in a video. |
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A segment of a tracked object in a video. |
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A frame capturing a tracked object. |
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Vision private endpoint. |
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The results of a visionPrivateEndpoint search. |
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the metadata about the visionPrivateEndpoint. |
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A single word. |
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The workrequest status details. |
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An error encountered while executing a work request. |
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The results of a workRequestError search. |
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A log message from the execution of a work request. |
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The results of a workRequestLog search. |
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A resource created, or operated on, by a work request. |
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A summary of the status of a work request. |
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The results of a workRequest search. |