![]() It is a challenge in Computer Vision & Machine Learning to handle noisy data and dataset with many different representations of the same class.Project Poster can be found in CV-Poster-Final.pdf. By this project we are trying to achieve the same using different feature extraction techniques like HOG, LBP, SIFT, SURF, pixel values with feature reduction techniques PCA, LDA and applying various classifiers such as Naive Bayes, Random Forest, SVM, XGBoost, Bagging, ADA-boost, KNN and CNN to compare their performance on different evaluation metric such as Accuracy, CMC Curve and Confusion Matrix. In Quick Draw the AI system tries to classify the hand-drawn doodle into a predetermined category. ![]() The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form.This project is done as a part of Computer Vision Course. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. This cookie is installed by Google Analytics. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. These cookies can only be read from the domain that it is set on so it will not track any data while browsing through another sites. This cookie is used to track how many times users see a particular advert which helps in measuring the success of the campaign and calculate the revenue generated by the campaign. This cookie is set by Google and stored under the name. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Analytical cookies are used to understand how visitors interact with the website.
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