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Object Detection in an Image using Java REST API

Follow this article for Java ImagingApi object detection in an JPEG image using the Aspose.Imaging Cloud REST API. You will also find a reference to the PNG format for output images.

Prerequisite

Steps for Image Object Recognition using Java Low Code API

  1. Create the ImagingApi using your credentials and cloud endpoint to detect an image object
  2. Define the source image file path and set the file path for the output image
  3. Define the detection parameters, including detection method, confidence threshold, and a flag to include labels and scores
  4. Load the input image file into a stream for API processing
  5. Create the CreateVisualObjectBoundsRequest using the image stream and custom detection options
  6. Output the request configuration details to the console for debugging
  7. Invoke the CreateVisualObjectBounds call to detect objects and generate an output image stream with visual bounding boxes
  8. Save the resulting stream as an output image

These steps summarize the process for image object identification using Java REST API. First, you set up the Imaging API with your credentials, choose the input and output image paths, configure the object detection settings, and load the source image as a stream while logging the request details for visibility. Then, you send the request to detect objects in the image and save the returned stream as a new image with visual bounding boxes applied.

Code for Object Detection in Image using Java RESTful Service

This code demonstrates image processing and object detection using Java Low Code API. You may add dynamic detection tuning for switching the detection models. If you set the debug flag to true, detailed messages are displayed throughout the detection process by the API.

This article has taught us the process for image processing and object recognition. To detect duplicate images in a collection of images, refer to the article Detect Duplicate Images using Reverse Image Search with Java REST API.

Keywords: image detection using Java REST Interface; object detection in an image using Java REST API; image processing for object detection using Java-based API.