Detect external ID or name of assets (from your CDF projects) in images. Usage of this feature requires ['assetsAcl:READ'] capability.
Number of digits after comma in a digital gauge.
The angle between the start and end point on the bottom part of an analog gauge, measured in degrees.
Detect and read value of dial gauges in images. In beta. Available only when the cdf-version: beta header is provided.
Detect and read value of digital gauges in images. In beta. Available only when the cdf-version: beta header is provided.
The number of milliseconds since 00:00:00 Thursday, 1 January 1970, Coordinated Universal Time (UTC), minus leap seconds.
An object containing file (external) id.
Detect industrial objects such as gauges and valves in images. In beta. Available only when the cdf-version: beta header is provided.
Contextualization job ID.
The status of the job.
Detect and read value of level gauges in images. In beta. Available only when the cdf-version: beta header is provided.
The max value of the gauge.
Maximum number of digits on a digital gauge.
The min value of the gauge.
Minimum number of digits on a digital gauge.
If the gauge is nonlinear, the non-linear angle from the metadata is used to part the scale in two separate linear scales. The first scale goes from min to 0. The second from 0 to max. The needle angle determines which scale is used.
Detect people in images.
Detect personal protective equipment, such as helmet, protective eyewear, and mask in images. In beta. Available only when the cdf-version: beta header is provided.
Detect text in images.
The confidence threshold returns predictions as positive if their confidence score is the selected value or higher. A higher confidence threshold increases precision but lowers recall, and vice versa.
Detect and read state of a valve in an image. In beta. Available only when the cdf-version: beta header is provided.
The external ID of a file in CDF.
The ID of a file in CDF.
A reference to an asset. Either the internal ID or the external ID must be provided (exactly one).