Computer Vision
Enable machines to see and interpret the visual world. Learn about image classification, object detection, and segmentation using deep learning.
474 courses
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Multi-Scale Object Detection: Feature Pyramids in YOLO
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Reading and Processing Images with OpenCV and C++
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$214.99
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Guided Backpropagation and Saliency Maps for Deep Learning Interpretability
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Masked Image Modeling and Focal Masking in Computer Vision
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Designing CNN Spatial Dimensions: Padding, Strides, and Dilation
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Adaptive Thresholding for Automated Image Inspection
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CNNs for Semantic Segmentation and Object Shape Detection
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$89.99
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Guide to Image Classification Architectures
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$104.99
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Understanding SSD: One-Stage Object Detection Architecture
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Explainable AI: Saliency Maps and Integrated Gradients
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Shape and Edge Analysis: OpenCV Contour Detection in C++
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Understanding YOLOv8: High-Level Object Detection and Segmentation
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Generate ArUco Marker Boards with Python and OpenCV
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Fast R-CNN: Two-Stage Object Detection Fundamentals
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Explain AI Image Classification with Grad-CAM and Ablation-CAM
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Practical Image Cropping and Resizing with OpenCV in C++
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OpenCV: Fiducial Detection on Electronic Boards
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Python and OpenCV for Robust Marker Detection
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$39.99
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Practical OpenCV: Image Processing and Object Detection
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OpenCV Fundamentals with C++ for Computer Vision
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Understanding Pooling and Feature Maps in CNNs
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Understanding Counterfactual Explanations in AI Image Classification
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Object Detection with Pretrained CNNs
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Interpreting Deep Learning: Class Activation Maps with X-GradCAM
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Showing 361–384 of 474 courses