diff --git a/mediapipe/tasks/web/vision/image_segmenter/image_segmenter_result.ts b/mediapipe/tasks/web/vision/image_segmenter/image_segmenter_result.ts
index 363cc213d..dc299798d 100644
--- a/mediapipe/tasks/web/vision/image_segmenter/image_segmenter_result.ts
+++ b/mediapipe/tasks/web/vision/image_segmenter/image_segmenter_result.ts
@@ -23,22 +23,28 @@ export class ImageSegmenterResult {
        * Multiple masks represented as `Float32Array` or `WebGLTexture`-backed
        * `MPImage`s where, for each mask, each pixel represents the prediction
        * confidence, usually in the [0, 1] range.
+       * @export
        */
       readonly confidenceMasks?: MPMask[],
       /**
        * A category mask represented as a `Uint8ClampedArray` or
        * `WebGLTexture`-backed `MPImage` where each pixel represents the class
        * which the pixel in the original image was predicted to belong to.
+       * @export
        */
       readonly categoryMask?: MPMask,
       /**
        * The quality scores of the result masks, in the range of [0, 1].
        * Defaults to `1` if the model doesn't output quality scores. Each
        * element corresponds to the score of the category in the model outputs.
+       * @export
        */
       readonly qualityScores?: number[]) {}
 
-  /** Frees the resources held by the category and confidence masks. */
+  /**
+   * Frees the resources held by the category and confidence masks.
+   * @export
+   */
   close(): void {
     this.confidenceMasks?.forEach(m => {
       m.close();
@@ -46,3 +52,5 @@ export class ImageSegmenterResult {
     this.categoryMask?.close();
   }
 }
+
+
diff --git a/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter_result.ts b/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter_result.ts
index 3b45d09e7..47dd443c8 100644
--- a/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter_result.ts
+++ b/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter_result.ts
@@ -23,22 +23,28 @@ export class InteractiveSegmenterResult {
        * Multiple masks represented as `Float32Array` or `WebGLTexture`-backed
        * `MPImage`s where, for each mask, each pixel represents the prediction
        * confidence, usually in the [0, 1] range.
+       * @export
        */
       readonly confidenceMasks?: MPMask[],
       /**
        * A category mask represented as a `Uint8ClampedArray` or
        * `WebGLTexture`-backed `MPImage` where each pixel represents the class
        * which the pixel in the original image was predicted to belong to.
+       * @export
        */
       readonly categoryMask?: MPMask,
       /**
        * The quality scores of the result masks, in the range of [0, 1].
        * Defaults to `1` if the model doesn't output quality scores. Each
        * element corresponds to the score of the category in the model outputs.
+       * @export
        */
       readonly qualityScores?: number[]) {}
 
-  /** Frees the resources held by the category and confidence masks. */
+  /**
+   * Frees the resources held by the category and confidence masks.
+   * @export
+   */
   close(): void {
     this.confidenceMasks?.forEach(m => {
       m.close();
@@ -46,3 +52,5 @@ export class InteractiveSegmenterResult {
     this.categoryMask?.close();
   }
 }
+
+