Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed to detect objects in images, particularly focusing on identifying harmful or offensive content. It leverages the power of Transformers.js to provide robust image analysis capabilities within web applications.

Features

• Object Detection: Identify objects within images, enabling the detection of potentially harmful content.
• Harmful Content Detection: Specialized for detecting inappropriate or sensitive objects.
• Model Customization: Options to use custom models or pre-trained models like YOLOv8 for optimized performance.
• Responsive Design: Works seamlessly across modern web browsers.
• Integration with TensorFlow.js: Offers smooth integration with TensorFlow.js for enhanced utility.

How to use Transformers.js ?

1. Include the Transformers.js Script: Add the library to your HTML file using a <script> tag.
2. Initialize the Detector: Create an instance of the detector with the model (e.g., YOLOv8).
3. Load the Model: Use the .load() method to load the selected model.
4. Detect in an Image: Pass the image element or URL to the .detect() method.
5. Handle Results: Process the resulting objects array for further actions.

Frequently Asked Questions

1. How do I include Transformers.js in my project?
Include the library by adding the script tag <script src='https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.18.0/dist/tf.min.js'></script>

2. Can I use a different model besides YOLOv8?
Yes, Transformers.js supports other models. You can specify the desired model when initializing the detector.

3. What is the Apocalypse threshold in results?
The Apocalypse threshold determines confidence levels for detected objects. Lower values increase detection sensitivity but may reduce accuracy.