Object Detection using YOLO Algorithm
Yolo is a Object Detection Algorithm, which is released in 2015. It detects an any object from input source and YOLO comes with pretrained model which is capable of detecting 80 types of objects. Like Car, Bike, Person, Traffic Lights, etc. So basically, Yolo Algorithm is pre-trained algorithm which is detecting objects. So, if user have to detect any different type of objects like weapon detection or any type of animal detection which we wanted to implement so user can use pre-trained model called Yolo Algorithm. In Deep learning we ned to implement the architecture with different different layers CNN, Maxpooling, etc. with the specific architecture we use to define the model and train the model among dataset; instead of defining the architecture we can use Yolo Architecture and will be do the training on top of our dataset. Then it will generate output model. Then it is capable of detecting and classifying the objects, so this is called custom training.
What is Yolo Algorithm for Object Detection Worked ?
Yolo is a Object Detection Algorithm, which is released in 2015. It detects an any object from input source and YOLO comes with pretrained model which is capable of detecting 80 types of objects. Like Car, Bike, Person, Traffic Lights, etc. So basically, Yolo Algorithm is pre-trained algorithm which is detecting objects. So, if user have to detect any different type of objects like weapon detection or any type of animal detection which we wanted to implement so user can use pre-trained model called Yolo Algorithm. In Deep learning we ned to implement the architecture with different different layers CNN, Maxpooling, etc. with the specific architecture we use to define the model and train the model among dataset; instead of defining the architecture we can use Yolo Architecture and will be do the training on top of our dataset. Then it will generate output model. Then it is capable of detecting and classifying the objects, so this is called custom training.
Real-Time Object Detection using YOLO
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