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How do we classify the set of images in different categories like cat and dog using Haar Cascade, just like CNN does?

you can't do this. cascade classifiers are binary, detect a single class, or the absesnce of it.

How do we classify the set of images in different categories like cat and dog using Haar Cascade, just like CNN does?

you can't do this. cascade classifiers are binary, detect a single class, or the absesnce absence of it.

How do we classify the set of images in different categories like cat and dog using Haar Cascade, just like CNN does?

you can't do this. cascade classifiers are binary, detect a single class, or the absence of it.

if you want to build a confusion matrix for a single class(ifier), you'll need annotated images (ground truth face boxes), test those with your trained classifier, and evaluate on the detections using IOU

How do we classify the set of images in different categories like cat and dog using Haar Cascade, just like CNN does?

you can't do this.

cascade classifiers are binary, detect a single class, or the absence of it.

if you want to build a confusion matrix for a single class(ifier), you'll need annotated images (ground truth face boxes), test those with your trained classifier, and evaluate the detections using IOU

How do we classify the set of images in different categories like cat and dog using Haar Cascade, just like CNN does?

you can't do this.

cascade classifiers are binary, detect a single class, or the absence of it.

if you want to build a confusion matrix for a single class(ifier), you'll need annotated images (ground truth face boxes), test those with your trained classifier, and evaluate the detections using IOU