Amazon Rekognition Custom Labels now enables creating a single inference API to find diverse objects and scenes in images with high accuracy
Amazon Rekognition Custom Labels is an automated machine learning (AutoML) feature that allows customers to find objects and scenes in images, unique to their business needs, with a simple inference API. Customers can create a custom ML model simply by uploading labeled images. No ML expertise is required.
Amazon Rekognition Custom Labels is an automated machine learning (AutoML) feature that allows customers to find objects and scenes in images, unique to their business needs, with a simple inference API. Customers can create a custom ML model simply by uploading labeled images. No ML expertise is required.
Today, we are delighted to announce that Amazon Rekognition Custom Labels enables customers to detect and classify diverse categories of objects and scenes with a single inference API with high accuracy. Customer do not have to create separate inference APIs for each category. For example, Manufacturing and Industrial customers who need to identify machine parts on an assembly line and detect the brands of the parts, would previously train two separate ML models, one for machine parts and one for brand logos. They would have to host two separate inference endpoints and run inference twice on a single image. Now, customers can detect both machine parts and brand logos in the same image, using a single inference API.
To learn more about Amazon Rekognition Custom Labels and region availability, please visit our documentation and region table. Get started with Amazon Rekognition Custom Labels today.