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This classifier achieved the following results, "Percent humans misclassified as dogs is 1%. and "Percent of dogs correctly classified is 100%" It is very reliable when it comes to classification of dog breeds.
Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.
Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.