Detect objects in an image
Upload images to get predictions
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Detect objects in images using an SVM model
Detect objects in your image
For transformer.js testing
Detect objects in an image
Detect objects in your images
Detect objects in images
Detect objects in your image
Detect objects in images
Detect objects in images
Detect objects in images
Transformers.js is a JavaScript library designed for object detection in images. It leverages transformer-based models to enable accurate and efficient detection of objects within visual data. The library provides an accessible interface for developers to integrate advanced computer vision capabilities into web applications.
• Object Detection Support: Detect objects within images using state-of-the-art transformer models.
• Model Flexibility: Compatible with popular transformer architectures for versatility in different use cases.
• Image Segmentation: Provides options for both detection (bounding boxes) and segmentation (pixel-level masks).
• JavaScript Integration: Optimized for use in web browsers and Node.js environments.
• Asynchronous Processing: Enables non-blocking execution for smoother user experiences.
• Customizable Thresholds: Allows adjustment of confidence levels for detection accuracy.
• Performance-Optimized: Built with efficiency in mind for real-time applications.
What types of models does Transformers.js support?
Transformers.js supports a variety of transformer-based models, including popular architectures like DETR and Vision Transformer (ViT).
Can I use Transformers.js in production environments?
Yes, Transformers.js is optimized for production use, offering robust performance and reliability for real-world applications.
How do I get started with the library?
Start by installing the package, then explore the examples provided in the documentation or demo directory to understand usage patterns.