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Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

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Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning

What is multi-block LBP?

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Multi-Block LBP is used to encode the rectangular region’s intensity by using local binary patterns. Local Binary Pattern (LBP) looks at nine pixels at a time (i.e., 3x3 window of image = 9-pixel values and 2^9 = 512 possible values). By using Local Binary Pattern we can turn this 3x3 matrix into a single value. LBP focus on the very local neighborhood like 3x3. Multi-block LBP has been used for larger-scale structure. With the help of Multi-Block Local Binary Pattern (MB-LBP), 256 types of different binary patterns can be formed for edge detection and face detection from still images. The computation of the local binary pattern on the 3x3 matrix is shown in Figure. I used MB-LBP For Face Detection.

What are the best algorithms for face detection in Matlab?

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The best algorithms for face detection in Matlab = Viola-Jones Algorithm Face from the different digital images can be detected. The vision. CascadeObjectDetector uses the Viola-Jones algorithm to detect people’s Faces, Noses, Eyes, Mouth or upper body. The Cascade Object Detector build into MATLAB to detect the facial features from a digital image. Detects the left and right eyes separately. Detects the mouth. Detect the objects using the viola jones algorithm. Detect a pair of eyes. Detects faces that are upright and forward-facing. For Face detection: faceDetector=vision.CascadeObjectDetector('FrontalFaceCART'); For Eyes detection: faceDetector=vision.CascadeObjectDetector('EyePairBig’); I Created a Face Detection system using Viola- Jones algorithm. Book :  Face and Facial Expression Recognition LINK :  Face Doctor - Viola Jones LINK Project | Face Detection using Polar Harmonic Transforms ~xRay Pixy
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