Upload an image to detect objects
Identify objects in images with YOLOS model
Detect defects in images and videos
State-of-the-art Zero-shot Object Detection
Identify objects in images
Detect objects in random images
Detect objects in uploaded images
Run object detection on videos
Identify labels in an image with a score threshold
Find license plates in images
Detect forklifts in images
Detect objects in random images
Track objects in live stream or uploaded videos
Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to easily integrate object detection capabilities into web applications by leveraging transformer-based models. The library simplifies the process of detecting objects within images, making it accessible for a wide range of use cases.
What models are used in Transformers.js?
Transformers.js utilizes state-of-the-art transformer-based models for object detection, such as DETR and its variants.
How accurate is Transformers.js for object detection?
The accuracy depends on the specific model used, but transformer-based models are known for their high precision and recall in object detection tasks.
Can Transformers.js be used in production environments?
Yes, Transformers.js is designed to be production-ready and can handle real-world object detection tasks efficiently.