Object detection, a prominent technology within the realm of computer vision and image processing, has gained significant importance in today’s technological landscape.
Its primary mission is the identification of objects in digital images and videos, opening a myriad of possibilities in applications ranging from recognizing humans, buildings, to vehicles.
The object detection process relies on the use of convolutional neural networks, which can recognize a specific set of objects, albeit with certain limitations.
These networks cannot detect objects that have not been previously trained or those that vary significantly in size. Additionally, they face additional challenges such as lighting variability, object rotation, the presence of shadows, and precise location within the image.
In the vast field of object detection, various models and techniques have emerged, such as R-CNN, YOLO, Single Shot Detection, RetinaNet, among others.
If you’re curious about computer vision and eager to delve into the exciting world of object detection and recognition in images, we have found a course that is the opportunity you’ve been waiting for.
This course is offered by the prestigious Autonomous University of Barcelona (UAB), a public institution located in the metropolitan area of Barcelona.
It is suitable for both university students majoring in computer science, engineering, and mathematics-related disciplines, as well as those with programming knowledge aspiring to learn how to use computer vision techniques to extract information from images.
What Will You Gain From This Course?
- The ability to design customized solutions to object detection and recognition problems in images, starting from a shared basic framework.
- Knowledge of fundamental techniques for image description and classification.
- Familiarity with the necessary tools to develop practical applications for object detection and recognition in various contexts.
How Can You Access This Course for Free?
This course is available on the Coursera platform and can be obtained for free under certain conditions.
To enroll, you should select the option of “Free Course without a Certificate.” This option allows you to access the course content and complete it without obtaining an official completion certificate from the platform.
If you wish to access the course, you can do so by following this link.
