import type * as rekognition from "@distilled.cloud/aws/rekognition";
import type * as Effect from "effect/Effect";
import * as Binding from "../../Binding.ts";
/**
 * Runtime binding for `rekognition:DetectModerationLabels` — detect unsafe or inappropriate content (explicit nudity, violence, etc.) in an image for content moderation.
 *
 * The binding takes no arguments and grants the function
 * `rekognition:DetectModerationLabels` on `*` (Rekognition data-plane resources such
 * as collections, users, and jobs are routinely created at runtime, so
 * their identifiers are unknown at deploy time). Provide the
 * implementation with `Effect.provide(AWS.Rekognition.DetectModerationLabelsHttp)`.
 *
 * ### Image Analysis
 * **Example:** Moderate an Uploaded Image
 * ```typescript
 * // init
 * const detectModerationLabels = yield* AWS.Rekognition.DetectModerationLabels();
 *
 * // runtime
 * const result = yield* detectModerationLabels({
 *   Image: { Bytes: imageBytes },
 *   MinConfidence: 60,
 * });
 * const flagged = (result.ModerationLabels ?? []).length > 0;
 * ```
 *
 * @binding
 */
export interface DetectModerationLabels extends Binding.Service<DetectModerationLabels, "AWS.Rekognition.DetectModerationLabels", () => Effect.Effect<(request: rekognition.DetectModerationLabelsRequest) => Effect.Effect<rekognition.DetectModerationLabelsResponse, rekognition.DetectModerationLabelsError>>> {
}
export declare const DetectModerationLabels: DetectModerationLabels;
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