YOLO11

What is YOLO11 ?

YOLO11 is an Ultralytics YOLOv11 Gradio application designed for testing and deploying object detection models. It allows users to detect objects in images with high accuracy and offers customizable detection thresholds, making it a versatile tool for various computer vision tasks.

Features

• Real-time Object Detection: Detect objects in images with state-of-the-art accuracy. • Customizable Thresholds: Adjust confidence and intersection over union (IoU) thresholds for precision tuning. • Multiple Model Support: Choose from different YOLOv11 models optimized for speed or accuracy. • Multi-Platform Compatibility: Run on Windows, macOS, and Linux with ease. • Gradio Interface: User-friendly web interface for seamless interaction. • Batch Processing: Detect objects in multiple images simultaneously.

How to use YOLO11 ?

1. Install Requirements: Ensure you have Python and the required dependencies installed.
2. Clone the Repository: Download the YOLO11 Gradio application from the Ultralytics repository.
3. Launch the App: Run the Gradio interface using the command gradio run yolov11_gradio.py.
4. Upload Images: Drag and drop images into the Gradio interface or select files from your device.
5. Adjust Settings: Modify confidence and IoU thresholds as needed for optimal results.
6. Run Detection: Click the "Detect" button to process the images.
7. View Results: Review the detected objects with bounding boxes and class labels.

Frequently Asked Questions

What is the minimum system requirement to run YOLO11?
YOLO11 requires at least 8GB of RAM, a modern CPU, and a compatible GPU for faster processing.

Can I use YOLO11 for real-time video detection?
Yes, YOLO11 supports video detection by processing frames in real-time.

How do I customize detection thresholds?
Adjust the confidence threshold and IoU threshold sliders in the Gradio interface to filter detections.