Detect objects in images with the Custom Vision service

Model training process is an iterative process in which the Custom Vision service repeatedly trains the model using some of the data, but holds some back to evaluate the model. At the end of the training process, the performance for the trained model is indicated by the following evaluation metrics: 1. 2. 3.

1. Precision 2. Recall 3. Mean Average Precision (mAP)

1. Which of the following results does an object detection model typically return for an image?

A class label, probability, and bounding box for each object in the image An object detection model predicts a class label, probability, and bounding box for each object in the image

You plan to use a set of images to train an object detection model, and then publish the model as a predictive service. You want to use a single Azure resource with the same key and endpoint for training and prediction. What kind of Azure resource should you create?

Cognitive Services A cognitive services resource can be used for both training and prediction.