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Update YOLO11 Actions and Docs (#16596)

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docs/en/integrations/gradio.md
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@ -1,14 +1,14 @@
---
comments: true
description: Discover an interactive way to perform object detection with Ultralytics YOLOv8 using Gradio. Upload images and adjust settings for real-time results.
keywords: Ultralytics, YOLOv8, Gradio, object detection, interactive, real-time, image processing, AI
description: Discover an interactive way to perform object detection with Ultralytics YOLO11 using Gradio. Upload images and adjust settings for real-time results.
keywords: Ultralytics, YOLO11, Gradio, object detection, interactive, real-time, image processing, AI
---
# Interactive [Object Detection](https://www.ultralytics.com/glossary/object-detection): Gradio & Ultralytics YOLOv8 🚀
# Interactive [Object Detection](https://www.ultralytics.com/glossary/object-detection): Gradio & Ultralytics YOLO11 🚀
## Introduction to Interactive Object Detection
This Gradio interface provides an easy and interactive way to perform object detection using the [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) model. Users can upload images and adjust parameters like confidence threshold and intersection-over-union (IoU) threshold to get real-time detection results.
This Gradio interface provides an easy and interactive way to perform object detection using the [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics/) model. Users can upload images and adjust parameters like confidence threshold and intersection-over-union (IoU) threshold to get real-time detection results.
<p align="center">
<br>
@ -18,7 +18,7 @@ This Gradio interface provides an easy and interactive way to perform object det
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Gradio Integration with Ultralytics YOLOv8
<strong>Watch:</strong> Gradio Integration with Ultralytics YOLO11
</p>
## Why Use Gradio for Object Detection?
@ -52,7 +52,7 @@ pip install gradio
## Usage Example
This section provides the Python code used to create the Gradio interface with the Ultralytics YOLOv8 model. Supports classification tasks, detection tasks, segmentation tasks, and key point tasks.
This section provides the Python code used to create the Gradio interface with the Ultralytics YOLO11 model. Supports classification tasks, detection tasks, segmentation tasks, and key point tasks.
```python
import gradio as gr
@ -60,11 +60,11 @@ import PIL.Image as Image
from ultralytics import ASSETS, YOLO
model = YOLO("yolov8n.pt")
model = YOLO("yolo11n.pt")
def predict_image(img, conf_threshold, iou_threshold):
"""Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
"""Predicts objects in an image using a YOLO11 model with adjustable confidence and IOU thresholds."""
results = model.predict(
source=img,
conf=conf_threshold,
@ -90,7 +90,7 @@ iface = gr.Interface(
],
outputs=gr.Image(type="pil", label="Result"),
title="Ultralytics Gradio",
description="Upload images for inference. The Ultralytics YOLOv8n model is used by default.",
description="Upload images for inference. The Ultralytics YOLO11n model is used by default.",
examples=[
[ASSETS / "bus.jpg", 0.25, 0.45],
[ASSETS / "zidane.jpg", 0.25, 0.45],
@ -119,9 +119,9 @@ if __name__ == "__main__":
## FAQ
### How do I use Gradio with Ultralytics YOLOv8 for object detection?
### How do I use Gradio with Ultralytics YOLO11 for object detection?
To use Gradio with Ultralytics YOLOv8 for object detection, you can follow these steps:
To use Gradio with Ultralytics YOLO11 for object detection, you can follow these steps:
1. **Install Gradio:** Use the command `pip install gradio`.
2. **Create Interface:** Write a Python script to initialize the Gradio interface. You can refer to the provided code example in the [documentation](#usage-example) for details.
@ -134,7 +134,7 @@ import gradio as gr
from ultralytics import YOLO
model = YOLO("yolov8n.pt")
model = YOLO("yolo11n.pt")
def predict_image(img, conf_threshold, iou_threshold):
@ -156,15 +156,15 @@ iface = gr.Interface(
gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
],
outputs=gr.Image(type="pil", label="Result"),
title="Ultralytics Gradio YOLOv8",
description="Upload images for YOLOv8 object detection.",
title="Ultralytics Gradio YOLO11",
description="Upload images for YOLO11 object detection.",
)
iface.launch()
```
### What are the benefits of using Gradio for Ultralytics YOLOv8 object detection?
### What are the benefits of using Gradio for Ultralytics YOLO11 object detection?
Using Gradio for Ultralytics YOLOv8 object detection offers several benefits:
Using Gradio for Ultralytics YOLO11 object detection offers several benefits:
- **User-Friendly Interface:** Gradio provides an intuitive interface for users to upload images and visualize detection results without any coding effort.
- **Real-Time Adjustments:** You can dynamically adjust detection parameters such as confidence and IoU thresholds and see the effects immediately.
@ -172,22 +172,22 @@ Using Gradio for Ultralytics YOLOv8 object detection offers several benefits:
For more details, you can read this [blog post](https://www.ultralytics.com/blog/ai-and-radiology-a-new-era-of-precision-and-efficiency).
### Can I use Gradio and Ultralytics YOLOv8 together for educational purposes?
### Can I use Gradio and Ultralytics YOLO11 together for educational purposes?
Yes, Gradio and Ultralytics YOLOv8 can be utilized together for educational purposes effectively. Gradio's intuitive web interface makes it easy for students and educators to interact with state-of-the-art [deep learning](https://www.ultralytics.com/glossary/deep-learning-dl) models like Ultralytics YOLOv8 without needing advanced programming skills. This setup is ideal for demonstrating key concepts in object detection and [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv), as Gradio provides immediate visual feedback which helps in understanding the impact of different parameters on the detection performance.
Yes, Gradio and Ultralytics YOLO11 can be utilized together for educational purposes effectively. Gradio's intuitive web interface makes it easy for students and educators to interact with state-of-the-art [deep learning](https://www.ultralytics.com/glossary/deep-learning-dl) models like Ultralytics YOLO11 without needing advanced programming skills. This setup is ideal for demonstrating key concepts in object detection and [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv), as Gradio provides immediate visual feedback which helps in understanding the impact of different parameters on the detection performance.
### How do I adjust the confidence and IoU thresholds in the Gradio interface for YOLOv8?
### How do I adjust the confidence and IoU thresholds in the Gradio interface for YOLO11?
In the Gradio interface for YOLOv8, you can adjust the confidence and IoU thresholds using the sliders provided. These thresholds help control the prediction [accuracy](https://www.ultralytics.com/glossary/accuracy) and object separation:
In the Gradio interface for YOLO11, you can adjust the confidence and IoU thresholds using the sliders provided. These thresholds help control the prediction [accuracy](https://www.ultralytics.com/glossary/accuracy) and object separation:
- **Confidence Threshold:** Determines the minimum confidence level for detecting objects. Slide to increase or decrease the confidence required.
- **IoU Threshold:** Sets the intersection-over-union threshold for distinguishing between overlapping objects. Adjust this value to refine object separation.
For more information on these parameters, visit the [parameters explanation section](#parameters-explanation).
### What are some practical applications of using Ultralytics YOLOv8 with Gradio?
### What are some practical applications of using Ultralytics YOLO11 with Gradio?
Practical applications of combining Ultralytics YOLOv8 with Gradio include:
Practical applications of combining Ultralytics YOLO11 with Gradio include:
- **Real-Time Object Detection Demonstrations:** Ideal for showcasing how object detection works in real-time.
- **Educational Tools:** Useful in academic settings to teach object detection and computer vision concepts.
@ -196,4 +196,4 @@ Practical applications of combining Ultralytics YOLOv8 with Gradio include:
For examples of similar use cases, check out the [Ultralytics blog](https://www.ultralytics.com/blog/monitoring-animal-behavior-using-ultralytics-yolov8).
Providing this information within the documentation will help in enhancing the usability and accessibility of Ultralytics YOLOv8, making it more approachable for users at all levels of expertise.
Providing this information within the documentation will help in enhancing the usability and accessibility of Ultralytics YOLO11, making it more approachable for users at all levels of expertise.