What Is Inference In Computer Vision?

Inference in computer vision refers to the process of running an AI model on input data, such as images, to generate outputs like bounding boxes, segmentation masks, or classification labels. This process involves several steps including pre-processing the input data, running the model, and post-processing the results to integrate them into applications, such as defect detection in manufacturing. Models can run synchronously in real-time for immediate results, or asynchronously in batches for large datasets where real-time processing is unnecessary. Inference servers, like Roboflow Inference, provide a platform to run models as microservices, offering scalability, isolation, and additional functionalities such as video processing, monitoring, and device management. The choice between using a model's SDK or an inference server depends on specific requirements like supported models, performance benchmarks, and additional capabilities needed for tasks such as video processing.