# Model Integration Samples Integrate tabular, image, and text classifcation models into your app. ## Discussion Use the provided Core ML sample code projects to learn how to classify numeric values, images, and text within applications. For example, you can detect poses of the human body, classify a group of images, and locate answers to questions in a text document. ## Topics ### Tabular data models [Integrating a Core ML Model into Your App](/documentation/CoreML/integrating-a-core-ml-model-into-your-app) Add a simple model to an app, pass input data to the model, and process the model’s predictions. ### Image classification models [Using Core ML for semantic image segmentation](/documentation/CoreML/using-core-ml-for-semantic-image-segmentation) Identify multiple objects in an image by using the DEtection TRansformer image-segmentation model. [Classifying Images with Vision and Core ML](/documentation/CoreML/classifying-images-with-vision-and-core-ml) Crop and scale photos using the Vision framework and classify them with a Core ML model. [Detecting human body poses in an image](/documentation/CoreML/detecting-human-body-poses-in-an-image) Locate people and the stance of their bodies by analyzing an image with a PoseNet model. [Understanding a Dice Roll with Vision and Object Detection](/documentation/CoreML/understanding-a-dice-roll-with-vision-and-object-detection) Detect dice position and values shown in a camera frame, and determine the end of a roll by leveraging a dice detection model. ### Text classification models [Finding answers to questions in a text document](/documentation/CoreML/finding-answers-to-questions-in-a-text-document) Locate relevant passages in a document by asking the Bidirectional Encoder Representations from Transformers (BERT) model a question. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)