Coco for ios download2/20/2024 ![]() ![]() You can alsoīuild your own custom inference pipeline using the To integrate object detection models in just a few lines of code. Recommend exploring the following example applications that can help you get If you are new to TensorFlow Lite and are working with Android or iOS, we Predicting the composition of an image, for example subject versus background (see segmentation).Predicting which single label the image most likely represents (see image classification).If you want to train a custom detection model for your own task, seeįor the following use cases, you should use a different type of model: If you are using a platform other than Android or iOS, or if you are alreadyĪPIs, you can download our starter object detection model and theįor more information about Metadata and associated fields (eg: labels.txt) see To learn how to use object detection in a mobile app, explore the Note: (1) To integrate an existing model, try Of a known set of objects might be present and provide information about theirįor example, this screenshot of the exampleĪpplication shows how two objects have been recognized and their positions Given an image or a video stream, an object detection model can identify which ![]()
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