https://github.com/prateekrajsrivastav/real-time-object-detection
Developed a real-time object detection pipeline leveraging YOLO and Python for efficient and accurate identification of objects in visual data. Utilized the Ultralytics library to implement and train the YOLO model. Employed Roboflow for comprehensive data annotation, preprocessing.
https://github.com/prateekrajsrivastav/real-time-object-detection
python roboflow ultralytics yolov8
Last synced: about 2 months ago
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Developed a real-time object detection pipeline leveraging YOLO and Python for efficient and accurate identification of objects in visual data. Utilized the Ultralytics library to implement and train the YOLO model. Employed Roboflow for comprehensive data annotation, preprocessing.
- Host: GitHub
- URL: https://github.com/prateekrajsrivastav/real-time-object-detection
- Owner: PrateekRajSrivastav
- Created: 2025-05-04T14:26:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-19T10:26:21.000Z (about 1 year ago)
- Last Synced: 2025-05-19T11:27:18.667Z (about 1 year ago)
- Topics: python, roboflow, ultralytics, yolov8
- Language: Jupyter Notebook
- Homepage: https://app.roboflow.com/prateek-raj-srivastav/object-tracking-sem8/models/object-tracking-sem8/1
- Size: 3.62 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Real-time-object-detection
Developed a real-time object detection pipeline leveraging YOLO and Python for efficient and accurate identification of objects in visual data. Utilized the Ultralytics library to implement and train the YOLO model. Employed Roboflow for comprehensive data annotation, preprocessing.
roboflow link: https://app.roboflow.com/prateek-raj-srivastav/object-tracking-sem8/models/object-tracking-sem8/1
colab link: https://colab.research.google.com/drive/1AkshJ4FtKz1xLtlnONSnOvJ9m4dWi3Vn?usp=sharing