detecting-anomalies-in-matlab

detecting-anomalies

advanced-deep-learning-techniques-for-computer-vision

deep-learning-for-computer-vision

specialization-overview

automating-image-processing

deep-learning-for-object-detection

image-segmentation-filtering-and-region-analysis

computer-vision-for-engineering-and-science

introduction-to-deep-learning-for-computer-vision

introduction-to-image-processing

introduction-to-machine-learning-for-computer-vision

introduction-to-object-tracking-and-motion-detection

data-augmentation-for-object-detection

introduction-to-data-augmentation

summary-of-deep-learning-for-computer-vision

summary-of-image-processing-for-engineering-and-science

summary-of-deep-learning-for-object-detection

course-summary

summary-of-introduction-to-computer-vision

summary-of-machine-learning-for-computer-vision

integrating-your-code

working-with-third-party-models

model-assisted-labeling

using-the-image-batch-processor-app

batch-processing-with-image-datastores

working-with-video-files

detecting-moving-objects

analyzing-data-in-matlab

practical-image-processing

introduction-to-the-final-project

introduction-to-object-detection-with-cnns

using-pre-trained-object-detectors

overview-of-training-object-detection-models

labeling-your-images

analyzing-your-labeled-data

peforming-transfer-learning-with-object-detection-models

evaluating-object-detection-models

addressing-common-issues-in-detection

reducing-noise-with-spatial-filtering

detecting-edges

improving-segmentation-with-morphology

using-the-image-segmenter-app

using-clustering-to-segment-images

combining-multiple-masks

calculating-and-using-region-properties

putting-it-all-together

analyzing-3d-images

CellVideo

introduction-what-are-features

MathWorksTraffic

ShakyStreet

liquidVideo

RoadTraffic

Turkey Video

Turkey Boxed

extracting-features

matching-features

detecting-features

estimating-and-applying-geometric-transformations

visually-selecting-control-points

feature-based-image-registration

stitching-images-together

preparing-your-data-for-classification

creating-and-training-a-cnn-for-classification

introduction-to-convolutional-neural-networks

common-training-options

training-and-comparing-models-with-experiment-manager

introduction-to-transfer-learning

performing-transfer-learning-for-classification

final-project-classifying-the-american-sign-language-alphabet

addressing-common-issues

interpreting-network-behavior

what-are-digital-images

representing-images-in-matlab

working-with-image-data

segmenting-grayscale-images

introduction-to-color-spaces

thresholding-color-images

common-image-adjustments

image-contrast-and-histograms

the-machine-learning-workflow

improving-image-contrast

introduction-to-classification-models

preparing-your-images-for-classification

training-image-classification-models

introduction-to-bag-of-features

evaluating-classification-models

evaluating-classification-models-in-matlab

classifying-images-with-bag-of-features

common-issues-in-image-classification

labeling-your-images-for-machine-learning

object-detection-with-machine-learning

introduction-to-the-object-detection-project

detecting-objects-with-segmentation

stabilizing-video-with-template-matching

detecting-motion

introduction-to-object-tracking

implementing-object-tracking-1-concepts

applying-optical-flow

detecting-objects-with-pretrained-models

introduction-to-the-traffic-flow-project

implementing-object-tracking-2-execution

summary-of-computer-vision-for-engineering-and-science