Object Detection and Recognition using Machine Learning
In this blog, will show project named Object Recognition using Python, this project user have to upload any image and video to machine learning model and it will first detect the object from video and it will recognize that particular object from video frame. Yolo Algorithm is used to trained model and tkinter is used for developing graphical user interface.
Object Detection with YOLO (You Only Look Once) in TensorFlow and Neural Networks revolutionizes real-time object identification in images or video streams. This application uses neural networks to implement YOLO, ensuring rapid and accurate detection of multiple objects within a single glance. The system’s efficiency in handling diverse object categories and scenarios makes it a valuable tool for applications such as security surveillance, autonomous vehicles, and augmented reality.
Object Detection using OpenCV
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
☎️ Contact Us For More Queries:-
📲 Call/WhatsApp: +91-9460060699
🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
💡 Checkout Related Projects:-
1. Android App:- Click Here
2. Java Projects:- Click Here
3. OpenCV Projects:- Click Here
4. Data Science Projects:- Click Here
5. Data Analytics Projects:- Click Here
5. Deep Learning Projects:- Click Here
6. Cyber Security Projects:- Click Here
7. Machine Learning Projects:- Click Here
8. Image Processing Projects:- Click Here
9. Web Development Projects:- Click Here
10. Game Development Projects:- Click Here
11. Artificial Intelligence Projects:- Click Here
12. Database Management System:- Click Here