import { CloudinaryAnalysisCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
import * as components from "../models/components/index.js";
import { CloudinaryAnalysisError } from "../models/errors/cloudinaryanalysiserror.js";
import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js";
import * as errors from "../models/errors/index.js";
import { ResponseValidationError } from "../models/errors/responsevalidationerror.js";
import { SDKValidationError } from "../models/errors/sdkvalidationerror.js";
import * as operations from "../models/operations/index.js";
import { APIPromise } from "../types/async.js";
import { Result } from "../types/fp.js";
/**
 * Analyze - Human Anatomy
 *
 * @remarks
 * Analyze an image using the [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) content-aware detection model. Cloudinary's human anatomy model identifies parts of the human body in an image. It works best when the majority of a human body is detected in the image.
 */
export declare function analyzeHumanAnatomy(client: CloudinaryAnalysisCore, request: components.BaseAnalyzeRequest, options?: RequestOptions): APIPromise<Result<operations.AnalyzeHumanAnatomyResponse, errors.ErrorResponse | errors.RateLimitedResponse | CloudinaryAnalysisError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
//# sourceMappingURL=analyzeHumanAnatomy.d.ts.map