Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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✨ Face detection with dlib (HOG and CNN) ✨

πŸ“– In this tutorial, you will learn how to perform face detection with the dlib library using both HOG + Linear SVM and CNNs. The dlib library is arguably one of the most utilized packages for face recognition. A Python package…...

🏷️ #dlib #FaceApplications #Tutorials
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✨ Optimizing dlib shape predictor accuracy with find_min_global ✨

πŸ“– In this tutorial you will learn how to use dlib’s find_min_global function to optimize the options and hyperparameters to dlib’s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib to…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
✨ Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size ✨

πŸ“– In this tutorial, you will learn how to optimally tune dlib’s shape predictor hyperparameters and options to obtain a shape predictor that balances speed, accuracy, and model size. Today is part two in our two-part series on training custom shape…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
✨ Training a custom dlib shape predictor ✨

πŸ“– In this tutorial, you will learn how to train your own custom dlib shape predictor. You’ll then learn how to take your trained dlib shape predictor and use it to predict landmarks on input images and real-time video streams. Today…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
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✨ OpenCV Eigenfaces for Face Recognition ✨

πŸ“– In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn. Our previous tutorial introduced the concept of face recognition β€” detecting the presence of a face in an image/video and then subsequently…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
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✨ Face Recognition with Local Binary Patterns (LBPs) and OpenCV ✨

πŸ“– In this tutorial, you will learn how to perform face recognition using Local Binary Patterns (LBPs), OpenCV, and the cv2.face.LBPHFaceRecognizer_create function. In our previous tutorial, we discussed the fundamentals of face recognition, including: The difference between face detection and face…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
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✨ What is face recognition? ✨

πŸ“– In this tutorial, you will learn about face recognition, including: How face recognition works How face recognition is different from face detection A history of face recognition algorithms State-of-the-art algorithms used for face recognition today Next week we will start…...

🏷️ #FaceApplications
✨ Face detection tips, suggestions, and best practices ✨

πŸ“– In this tutorial, you will learn my tips, suggestions, and best practices to achieve high face detection accuracy with OpenCV and dlib. We’ve covered face detection four times on the PyImageSearch blog: Face detection with OpenCV and Haar cascades Face…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
✨ COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning ✨

πŸ“– In this tutorial, you will learn how to train a COVID-19 face mask detector on a custom dataset with OpenCV, Keras/TensorFlow, and Deep Learning. Last month, I authored a blog post on detecting COVID-19 in X-ray images using deep learning.…...

🏷️ #DeepLearning #FaceApplications #KerasandTensorFlow #MedicalComputerVision #ObjectDetection #Tutorials
✨ Raspberry Pi and Movidius NCS Face Recognition ✨

πŸ“– In this tutorial you will learn how to use the Movidius NCS to speed up face detection and face recognition on the Raspberry Pi by over 243%! If you’ve ever tried to perform deep learning-based face recognition on a Raspberry…...

🏷️ #EmbeddedIoTandComputerVision #FaceApplications #Movidius #RaspberryPi
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