Open Image Models

Ready-to-use models for a range of computer vision tasks like detection, classification, and more. With ONNX support, you get fast and accurate results right out of the box.

Easily integrate these models into your apps for real-time processing—ideal for edge devices, cloud setups, or production environments. In one line of code, you can have powerful model inference running!

from open_image_models import LicensePlateDetector

lp_detector = LicensePlateDetector(detection_model="yolo-v9-t-256-license-plate-end2end")
lp_detector.predict("path/to/license_plate_image.jpg")

Info

✨ That’s it! Fast, accurate computer vision models with just one line of code.

Features

• 🚀 Pre-trained: Models are ready for immediate use, no additional training required.
• 🌟 ONNX: Cross-platform support for fast inference on both CPU and GPU environments.
• ⚡ Performance: Optimized for both speed and accuracy, ensuring efficient real-time applications.
• 💻 Simple API: Power up your applications with robust model inference in just one line of code.