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Object Detection
Vanilla Js Object Detector

Vanilla Js Object Detector

Detect objects in an uploaded image

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What is Vanilla Js Object Detector ?

Vanilla Js Object Detector is a lightweight JavaScript library designed to detect objects within uploaded images. It provides a simple and efficient way to identify and classify objects using vanilla JavaScript, making it easy to integrate into web applications. The library focuses on delivering fast and accurate object detection while keeping dependencies minimal.

Features

• Real-time object detection: Detect objects in images instantly as they are uploaded or loaded. • Support for multiple image formats: Works with common image formats like JPEG, PNG, and BMP. • Customizable detection thresholds: Adjust sensitivity and accuracy to suit your needs. • Asynchronous processing: Non-blocking detection process ensures smooth user experience. • Lightweight implementation: No heavy dependencies, keeping your application fast and efficient. • Easy integration: Simple API for seamless integration into existing web applications.

How to use Vanilla Js Object Detector ?

  1. Include the library in your HTML file by adding the script tag.
  2. Create an instance of the detector and specify any configuration options.
  3. Load an image into a canvas or image element on your page.
  4. Call the detect method on the image to start object detection.
  5. Handle the results by implementing a callback function to process the detected objects.
const detector = new ObjectDetector();
detector.detect(document.getElementById('image'), function(objects) {
    console.log('Detected objects:', objects);
});

Frequently Asked Questions

What image formats are supported?
Vanilla Js Object Detector supports JPEG, PNG, and BMP formats.

Can I customize the detection accuracy?
Yes, you can adjust the sensitivity and accuracy by modifying the detection threshold in the configuration options.

Where can I find the full documentation?
The complete documentation is available on the project's homepage or GitHub repository.

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