Update YOLO11 Actions and Docs (#16596)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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---
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comments: true
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description: Learn how to use Ultralytics YOLOv8 for real-time object blurring to enhance privacy and focus in your images and videos.
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keywords: YOLOv8, object blurring, real-time processing, privacy protection, image manipulation, video editing, Ultralytics
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description: Learn how to use Ultralytics YOLO11 for real-time object blurring to enhance privacy and focus in your images and videos.
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keywords: YOLO11, object blurring, real-time processing, privacy protection, image manipulation, video editing, Ultralytics
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---
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# Object Blurring using Ultralytics YOLOv8 🚀
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# Object Blurring using Ultralytics YOLO11 🚀
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## What is Object Blurring?
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Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) involves applying a blurring effect to specific detected objects in an image or video. This can be achieved using the YOLOv8 model capabilities to identify and manipulate objects within a given scene.
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Object blurring with [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics/) involves applying a blurring effect to specific detected objects in an image or video. This can be achieved using the YOLO11 model capabilities to identify and manipulate objects within a given scene.
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<p align="center">
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<br>
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@ -18,16 +18,16 @@ Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> Object Blurring using Ultralytics YOLOv8
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<strong>Watch:</strong> Object Blurring using Ultralytics YOLO11
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</p>
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## Advantages of Object Blurring?
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- **Privacy Protection**: Object blurring is an effective tool for safeguarding privacy by concealing sensitive or personally identifiable information in images or videos.
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- **Selective Focus**: YOLOv8 allows for selective blurring, enabling users to target specific objects, ensuring a balance between privacy and retaining relevant visual information.
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- **Real-time Processing**: YOLOv8's efficiency enables object blurring in real-time, making it suitable for applications requiring on-the-fly privacy enhancements in dynamic environments.
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- **Selective Focus**: YOLO11 allows for selective blurring, enabling users to target specific objects, ensuring a balance between privacy and retaining relevant visual information.
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- **Real-time Processing**: YOLO11's efficiency enables object blurring in real-time, making it suitable for applications requiring on-the-fly privacy enhancements in dynamic environments.
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!!! example "Object Blurring using YOLOv8 Example"
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!!! example "Object Blurring using YOLO11 Example"
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=== "Object Blurring"
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@ -37,7 +37,7 @@ Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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from ultralytics import YOLO
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from ultralytics.utils.plotting import Annotator, colors
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model = YOLO("yolov8n.pt")
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model = YOLO("yolo11n.pt")
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names = model.names
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cap = cv2.VideoCapture("path/to/video/file.mp4")
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@ -86,20 +86,20 @@ Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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## FAQ
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### What is object blurring with Ultralytics YOLOv8?
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### What is object blurring with Ultralytics YOLO11?
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Object blurring with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) involves automatically detecting and applying a blurring effect to specific objects in images or videos. This technique enhances privacy by concealing sensitive information while retaining relevant visual data. YOLOv8's real-time processing capabilities make it suitable for applications requiring immediate privacy protection and selective focus adjustments.
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Object blurring with [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics/) involves automatically detecting and applying a blurring effect to specific objects in images or videos. This technique enhances privacy by concealing sensitive information while retaining relevant visual data. YOLO11's real-time processing capabilities make it suitable for applications requiring immediate privacy protection and selective focus adjustments.
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### How can I implement real-time object blurring using YOLOv8?
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### How can I implement real-time object blurring using YOLO11?
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To implement real-time object blurring with YOLOv8, follow the provided Python example. This involves using YOLOv8 for [object detection](https://www.ultralytics.com/glossary/object-detection) and OpenCV for applying the blur effect. Here's a simplified version:
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To implement real-time object blurring with YOLO11, follow the provided Python example. This involves using YOLO11 for [object detection](https://www.ultralytics.com/glossary/object-detection) and OpenCV for applying the blur effect. Here's a simplified version:
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```python
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import cv2
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from ultralytics import YOLO
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model = YOLO("yolov8n.pt")
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model = YOLO("yolo11n.pt")
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cap = cv2.VideoCapture("path/to/video/file.mp4")
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while cap.isOpened():
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@ -112,7 +112,7 @@ while cap.isOpened():
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obj = im0[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])]
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im0[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])] = cv2.blur(obj, (50, 50))
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cv2.imshow("YOLOv8 Blurring", im0)
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cv2.imshow("YOLO11 Blurring", im0)
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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@ -120,9 +120,9 @@ cap.release()
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cv2.destroyAllWindows()
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```
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### What are the benefits of using Ultralytics YOLOv8 for object blurring?
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### What are the benefits of using Ultralytics YOLO11 for object blurring?
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Ultralytics YOLOv8 offers several advantages for object blurring:
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Ultralytics YOLO11 offers several advantages for object blurring:
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- **Privacy Protection**: Effectively obscure sensitive or identifiable information.
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- **Selective Focus**: Target specific objects for blurring, maintaining essential visual content.
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@ -130,10 +130,10 @@ Ultralytics YOLOv8 offers several advantages for object blurring:
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For more detailed applications, check the [advantages of object blurring section](#advantages-of-object-blurring).
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### Can I use Ultralytics YOLOv8 to blur faces in a video for privacy reasons?
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### Can I use Ultralytics YOLO11 to blur faces in a video for privacy reasons?
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Yes, Ultralytics YOLOv8 can be configured to detect and blur faces in videos to protect privacy. By training or using a pre-trained model to specifically recognize faces, the detection results can be processed with [OpenCV](https://www.ultralytics.com/glossary/opencv) to apply a blur effect. Refer to our guide on [object detection with YOLOv8](https://docs.ultralytics.com/models/yolov8/) and modify the code to target face detection.
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Yes, Ultralytics YOLO11 can be configured to detect and blur faces in videos to protect privacy. By training or using a pre-trained model to specifically recognize faces, the detection results can be processed with [OpenCV](https://www.ultralytics.com/glossary/opencv) to apply a blur effect. Refer to our guide on [object detection with YOLO11](https://docs.ultralytics.com/models/yolov8/) and modify the code to target face detection.
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### How does YOLOv8 compare to other object detection models like Faster R-CNN for object blurring?
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### How does YOLO11 compare to other object detection models like Faster R-CNN for object blurring?
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Ultralytics YOLOv8 typically outperforms models like Faster R-CNN in terms of speed, making it more suitable for real-time applications. While both models offer accurate detection, YOLOv8's architecture is optimized for rapid inference, which is critical for tasks like real-time object blurring. Learn more about the technical differences and performance metrics in our [YOLOv8 documentation](https://docs.ultralytics.com/models/yolov8/).
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Ultralytics YOLO11 typically outperforms models like Faster R-CNN in terms of speed, making it more suitable for real-time applications. While both models offer accurate detection, YOLO11's architecture is optimized for rapid inference, which is critical for tasks like real-time object blurring. Learn more about the technical differences and performance metrics in our [YOLO11 documentation](https://docs.ultralytics.com/models/yolov8/).
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