ImageAestheticsScoresObservation

confidence

get confidence(): number

let confidence: Float

The level of confidence normalized to `[0, 1]` where `1` is most confident. The only exception is results coming from `CoreMLRequest`, where confidence values are forwarded as is from relevant CoreML models

description

get description(): string

var description: String { get }

A textual representation of this instance. Calling this property directly is discouraged. Instead, convert an instance of any type to a string by using the `String(describing:)` initializer. This initializer works with any type, and uses the custom `description` property for types that conform to `CustomStringConvertible`: struct Point: CustomStringConvertible { let x: Int, y: Int var description: String { return "(\(x), \(y))" } } let p = Point(x: 21, y: 30) let s = String(describing: p) print(s) // Prints "(21, 30)" The conversion of `p` to a string in the assignment to `s` uses the `Point` type's `description` property.

overallScore

get overallScore(): number

let overallScore: Float

A score which incorporates aesthetic score, failure score, and utility labels. This returns a value within the range of `-1` and `1`, where `-1` is least desirable and `1` is most desirable.

originatingRequestDescriptor

get originatingRequestDescriptor(): (RequestDescriptor) | null

let originatingRequestDescriptor: RequestDescriptor?

The descriptor of the request that produced the observation.

uuid

get uuid(): string

let uuid: UUID

The unique identifier for the observation.

isUtility

get isUtility(): boolean

let isUtility: Bool

A Boolean value that represents images that are not necessarily of poor image quality, but may not have memorable or exciting content.

timeRange

get timeRange(): (_CoreMedia_CMTimeRange) | null

let timeRange: CMTimeRange?

The time range of the reported observation. When evaluating a sequence of image buffers, use this property to determine each observation’s start time and duration.

init

static init(observation: VNImageAestheticsScoresObservation): ImageAestheticsScoresObservation

init(_ observation: VNImageAestheticsScoresObservation)