Inspiration- Enhancing Safety, Supporting the Visually Impaired and Improving Security
What it does Real-Time Detection, Bounding Boxes, Frame Analysis, and Confidence Score
How we built it - Tech stack used :
1) python - for implementation 2) Yolov8 - for object detection 3) Opencv- for video capturing
Challenges we ran into -Objects partially obscured by other objects can be difficult to detect accurately.
Accomplishments that we're proud of -Adaptability to Various Environments, Enhanced security and many more
What we learned- Importance of Data Quality, Algorithm Optimization, Integration Challenges etc
What's next for Real Time Object Detection- Algorithm Enhancement, User Experience Enhancement, Continuous Learning and Improvement and many more.
Built With
- googlecollab
- machine-learning
- opencv
- python
- yolov8
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