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Computer Vision Python Course
Learn the main things about Computer Vision using Python in this training for tech people. We go deep into how to get data, think about what's right and wrong when using data, and how to choose the best data to use. You'll learn how to prepare the images like making them the right size and changing them up a bit. We'll look at deep learning models, like YOLO and Faster R-CNN, and learn how to make them work even better by tuning the settings. You'll get to use OpenCV to work with videos in real-time and find things in them. You'll become really good at this with hands-on practice and good materials that you can use straight away.
- Get good at Python for Computer Vision: Make strong image processing programs.
- Use real-time object detection: Make your video analysis better.
- Make deep learning models work their best: Fine-tune them to be top-notch.
- Check how well your model is doing: Use things like precision and recall to see how good it is.
- Write about your projects like a professional: Make reports that are clear and easy to understand.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Learn the main things about Computer Vision using Python in this training for tech people. We go deep into how to get data, think about what's right and wrong when using data, and how to choose the best data to use. You'll learn how to prepare the images like making them the right size and changing them up a bit. We'll look at deep learning models, like YOLO and Faster R-CNN, and learn how to make them work even better by tuning the settings. You'll get to use OpenCV to work with videos in real-time and find things in them. You'll become really good at this with hands-on practice and good materials that you can use straight away.
Elevify advantages
Develop skills
- Get good at Python for Computer Vision: Make strong image processing programs.
- Use real-time object detection: Make your video analysis better.
- Make deep learning models work their best: Fine-tune them to be top-notch.
- Check how well your model is doing: Use things like precision and recall to see how good it is.
- Write about your projects like a professional: Make reports that are clear and easy to understand.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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