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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Transformers for Object Detection: Understanding DETR Architecture
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Robust Image Classification with Random Erasing Augmentation
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Introduction to Deepfakes and Facial Landmark Detection
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Edge Object Detection: Model Architecture and Compression
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$174.99
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Image Histogram Analysis with OpenCV and Python
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YOLO Hyperparameter Tuning for Object Detection
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Self-Attention vs. Convolution in Computer Vision
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Multi-Task Computer Vision: Hugging Face Pipelines for Image Analysis
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Demystifying Non-Maximum Suppression in YOLO Object Detection
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Understanding CNNs: Foundational Concepts and Practice Quizzes
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Drawing and Annotating Images with OpenCV in C++
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Understanding CNNs: Architectures and Image Classification Basics
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Enhancing Object Detection Datasets with Synthetic Data
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Two-Stage Object Detection in Computer Vision
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Foundations of YOLO: One-Stage Object Detection with PyTorch
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Image Masking with Bitwise Operators in OpenCV
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Implementing R-CNN Object Detection with PyTorch
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Preparing and Augmenting Image Data for Machine Learning
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YOLO Object Detection: Architecture Evolution and Implementation
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Specialized Deep Learning Operations: Graphs, Meshes, and Batching
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Evaluating Explainable AI with Feature Agreement Metrics
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Python Image Classification: Analyze and Categorize Visual Data
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Deep Learning Foundations: Kernels in Convolutional Networks
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CNN Image Classification: Hands-On Fashion-MNIST Guide
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Showing 337–360 of 474 courses