Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs. In other words, computer vision enables computers to see, observe and understand.
As I have a master’s degree in artificial intelligence, I have a detailed knowledge of computer vision, machine learning, and deep learning. Also, I have strong experience in basic and advanced image processing algorithms for feature engineering. It’s been around 4 years that I’ve learned Python, so I’ve worked with many libraries, including Numpy, Pandas, Scikit-learn, PIL, OpenCV, Skimage, matplotlib, etc. Furthermore, I’m experienced in Tensorflow and Keras, and I’ve trained some of my models through GPU computing. Since I’m extremely eager for computer vision, I've read many papers on this topic. This is why I know state-of-the-art deep learning and computer vision techniques. I also have the ability to transform research articles into working solutions to solve real-world problems. My computer vision projects are as follows:


Brain tumor segmentation

Identifying brain tumor sub-regions in MRI using deep learning and predicting survival time of patients with brain tumors.