Webb17 juni 2024 · from sklearn.metrics import accuracy_score score = accuracy_score(labels, predictions) Besides, you can calculate some other metrics. from sklearn.metrics import … http://ogrisel.github.io/scikit-learn.org/stable/auto_examples/applications/face_recognition.html
3.3. Metrics and scoring: quantifying the quality of …
Webb8 mars 2024 · This framework achieved a 3% improvement over the previous state-of-the-art method on the AgeDB-30 benchmark without bells and whistles, while maintaining a strong performance on HR images. In this study, we introduce a feature knowledge distillation framework to improve low-resolution (LR) face recognition performance … WebbML-Sklearn-Face-Recognition-on-Olivetti-Dataset. Machine Learning Algorithms: 1. Logistics Regression 2. RandomForestRegressor 3. KNN 4. SVM 5. Naive Bayes (with PCA and without PCA) Libraries: sklearn, Matplotlib, Pandas, Numpy Olivetti Dataset: The data set contains 10 face images for each subject. flagelloscypha minutissima
Auto-Sklearn: How To Boost Performance and Efficiency Through …
Webb$ python faces_ex.py Accuracy for training data (self accuracy): 1.0 Accuracy for test data: 0.9875 Let’s print the locations of first 20 images, where the test-images and the predicted-images are different from each other. Also, plot the images to … WebbFaces recognition example using eigenfaces ... _validation import train_test_split from sklearn.datasets import fetch_lfw_people from sklearn.grid_search import GridSearchCV from sklearn.metrics import classification_report from sklearn.metrics import confusion_matrix from sklearn.decomposition import RandomizedPCA from … WebbLab: Faces recognition using various learning models ¶ This lab is inspired by a scikit-learn lab: Faces recognition example using eigenfaces and SVMs It uses scikit-learan and … flagellocanth