|---| | [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/components/containers/__init__.py) | MediaPipe Tasks Components Containers API. ## Modules [`keypoint`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/keypoint.md.txt) module: Keypoint data class. ## Classes [`class AudioData`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/AudioData.md.txt): MediaPipe Tasks' audio container. [`class AudioDataFormat`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/AudioDataFormat.md.txt): Audio format metadata. [`class BoundingBox`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/BoundingBox.md.txt): An integer bounding box, axis aligned. [`class Category`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Category.md.txt): A classification category. [`class ClassificationResult`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/ClassificationResult.md.txt): Contains the classification results of a model. [`class Classifications`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Classifications.md.txt): Represents the classification results for a given classifier head. [`class Detection`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Detection.md.txt): Represents one detected object in the object detector's results. [`class DetectionResult`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/DetectionResult.md.txt): Represents the list of detected objects. [`class Embedding`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Embedding.md.txt): Embedding result for a given embedder head. [`class EmbeddingResult`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/EmbeddingResult.md.txt): Embedding results for a given embedder model. [`class Landmark`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Landmark.md.txt): A landmark that can have 1 to 3 dimensions. [`class LandmarksDetectionResult`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/LandmarksDetectionResult.md.txt): Represents the landmarks detection result. [`class NormalizedLandmark`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/NormalizedLandmark.md.txt): A normalized version of above Landmark proto. [`class NormalizedRect`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/NormalizedRect.md.txt): A rectangle with rotation in normalized coordinates. [`class Rect`](https://developers.google.com/edge/api/mediapipe/python/mp/tasks/components/containers/Rect.md.txt): A rectangle, used as part of detection results.