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Learn Object Detection, earn certificates with free online courses from Stanford, Alexander Amini, Johns Hopkins, UC Berkeley and other top universities around the world. Read reviews to decide if a class is right for you.
Learn OpenCV Python: from installation to advanced projects like face recognition and object measurement. Hands-on tutorials cover image processing, shape detection, and more.
This is an introductory course on AWS DeepLens, the world’s first deep-learning enabled video camera.
Learn essential computer vision techniques using OpenCV in Python, covering image manipulation, video processing, object detection, and facial recognition.
Learn computer vision and OpenCV in C++, covering installation, image processing, object detection, depth estimation, and GPU acceleration. Gain practical skills for real-world applications.
In this tutorial series, we would be working on hands-on projects using OpenCV and Python.
Learn to deploy neural networks for object detection, depth estimation, and point cloud creation using OpenCV DNN module with Python and C++. Explore GPU acceleration and custom YOLOv5 models.
Learn OpenCV for computer vision: image processing, transformations, edge detection, contour analysis, and object detection. Hands-on projects included.
Comprehensive tutorial series on YOLOv4 object detection, covering installation, implementation, and applications in computer vision using OpenCV and Python.
Learn to implement YOLO v4 for object detection: from image labeling and dataset creation to model training and custom object detection, with hands-on coding and practical applications.
Learn to implement YOLO v3 for robust object detection, from web scraping and dataset annotation to model training and deployment, using OpenCV and Python.
Learn object detection and segmentation using Detectron2, covering installation, data preparation, and implementation with OpenCV and Python for computer vision applications.
Learn essential computer vision techniques using TensorFlow and MediaPipe. Build real-time applications for face detection, pose estimation, hand tracking, and object detection with Python and OpenCV.
Learn advanced object detection techniques with YOLOR, covering implementation, optimization, and real-world applications in computer vision and AI. Gain practical skills for various industries.
Learn to implement YOLOX object detection, understand its speed and accuracy, explore non-max suppression, and build analytical dashboards using Plotly Dash for computer vision projects.
Comprehensive introduction to AI, covering neural networks, NLP, and computer vision. Explores key concepts, applications, and real-world use cases for beginners entering the field of artificial intelligence.
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