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https://github.com/himalayaashish/faceblur
This project focuses on implementing face blurring techniques using YOLO (You Only Look Once) and TensorFlow to enhance privacy in images and video streams. The system utilizes YOLO for real-time object detection to accurately identify faces within a given frame. Once detected, TensorFlow is applied
https://github.com/himalayaashish/faceblur
image segmentation tensorflow tensorflow2 unet unet-image-segmentation yolo yolov5 yolov8
Last synced: 11 days ago
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This project focuses on implementing face blurring techniques using YOLO (You Only Look Once) and TensorFlow to enhance privacy in images and video streams. The system utilizes YOLO for real-time object detection to accurately identify faces within a given frame. Once detected, TensorFlow is applied
- Host: GitHub
- URL: https://github.com/himalayaashish/faceblur
- Owner: himalayaashish
- Created: 2024-10-15T05:24:01.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-10-17T08:55:09.000Z (30 days ago)
- Last Synced: 2024-11-05T02:04:38.238Z (11 days ago)
- Topics: image, segmentation, tensorflow, tensorflow2, unet, unet-image-segmentation, yolo, yolov5, yolov8
- Homepage:
- Size: 988 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Hello World!
🚀 Welcome to my git repo :FaceBlur#####
#### Face Blur Using YOLO and TensorFlow
###### This project focuses on implementing face blurring techniques using YOLO (You Only Look Once) and TensorFlow to enhance privacy in images and video streams. The system utilizes YOLO for real-time object detection to accurately identify faces within a given frame. Once detected, TensorFlow is employed to apply blurring effects on the identified regions, ensuring that sensitive information is obscured while maintaining the integrity of the surrounding content. The project demonstrates the practical application of deep learning in safeguarding privacy in visual media.###### This project blurs the face using the yolo and tensorflow model.
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