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Detect objects in uploaded images
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.
• 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.
const detector = new ObjectDetector();
detector.detect(document.getElementById('image'), function(objects) {
console.log('Detected objects:', objects);
});
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.