import { ImageProcessingResult } from "./interfaces.js";
import { BaseImageModel } from "./base.js";
/**
 * Class predicted by the model.
 *
 * @param class - class name.
 * @param confidence - how confident the model is in the prediction. Value in range [0,1].
 */
export type ClassificationPrediction = {
    class: string;
    confidence: number;
};
/**
 * Output of the classification model.
 *
 * @param results - array of `ClassificationPrediction` values.
 * @param elapsed - time taken to process the input, in seconds.
 */
export type ClassificationResult = ImageProcessingResult & {
    results: ClassificationPrediction[] | ClassificationPrediction[][];
};
/**
 * Model for classifying images.
 *
 * @implements IImageModel
 *
 * @remarks
 * The model is initialized via `init()` function. The model cannot be used if it is not initialized.
 *
 * @param metadata - information about the model.
 * @param initialized - flag indicating if the model was initialized.
 */
export declare class ClassificationModel extends BaseImageModel {
    /**
     * Processes the image and generates the classification predictions.
     *
     * @param input - either URL to the image or Buffer with the image.
     * @param num - maximum number of predictions to generate.
     *
     * @returns classification predictions.
     */
    process: (inputs: string | ArrayBuffer | string[] | ArrayBuffer[], num?: number) => Promise<ClassificationResult>;
    private runInference;
}