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Computer Vision Introduction
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Subject
Artificial Intelligence
Micro Learning Modules
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Basic Operations3a Thresholding Edge Detection Sobel Canny Concept
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Cnns For Vision Conceptual Pipeline3a Convolution Pooling Fully Connected
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Classical Features Concepts3a Corners Keypoints Descriptors
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Datasets And Tasks3a Mnist Cifar Imagenet Intro Classification Vs Detection Vs Segmentation
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Digital Images3a Pixels Channels Color Spaces Rgb Grayscale
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Ethics In Vision3a Surveillance Privacy Bias
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Evaluation In Vision3a Accuracy Iou Intro Confusion Matrix
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Image Preprocessing3a Resizing Normalization Augmentation Basics
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Transfer Learning For Image Classification Overview Of Pre Trained Models
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