YOLO11

What is YOLO11 ?

YOLO11 is an advanced object detection application developed by Ultralytics, designed for real-time object detection in images. It leverages the YOLOv11 model, known for its high accuracy and speed, to deliver robust detection capabilities. The application allows users to detect objects in images with customizable confidence thresholds, making it suitable for various use cases.

Features

• Real-Time Detection: Perform object detection on images with minimal latency.
• Customizable Thresholds: Adjust confidence thresholds to filter detection results based on accuracy needs.
• Multi-Device Support: Runs efficiently on CPUs, GPUs, and edge devices.
• User-Friendly Interface: Intuitive interface for seamless interaction and configuration.
• High Accuracy: Built on the state-of-the-art YOLOv11 model for precise object recognition.

How to use YOLO11 ?

1. Install the Application: Download and install YOLO11 from the official repository or platform.
2. Launch the Application: Open the application to access the Gradio interface.
3. Upload an Image: Select or drag and drop an image into the input field.
4. Adjust Settings: Customize confidence thresholds and other parameters as needed.
5. Run Detection: Click the "Detect" button to process the image.
6. View Results: Review the detected objects highlighted in the image with bounding boxes and labels.
7. Export Results: Save or share the results for further analysis or reporting.

Frequently Asked Questions

What is YOLO11 used for?
YOLO11 is primarily used for object detection in images, enabling users to identify and locate objects within visual data.

How can I improve detection accuracy?
To improve accuracy, adjust the confidence threshold to a higher value, ensure high-quality input images, and use appropriate models optimized for your specific use case.

Where can I find the documentation for YOLO11?
The official documentation and usage guides can be found on the Ultralytics YOLO11 GitHub repository or the associated project website.