- Detection of faces using Haar cascade, HOG (Histogram of Oriented Gradients), MMOD (Max-Margin Object Detection), and SSD (Single Shot Multibox Detector)
- Detection of other objects, such as eyes, smiles, clocks, bodies, and cars
- Recognition of faces using Eigenfaces, Fisherfaces, LBPH (Local Binary Patterns Histograms), and advanced Deep Learning techniques
- How to compare the performance of the algorithms
- Build your custom dataset capturing faces via webcam
- AT&T Database of Faces - https://www.kaggle.com/kasikrit/att-database-of-faces
- Unconstrained Facial Images - http://ufi.kiv.zcu.cz
- Flickr Faces - https://github.com/NVlabs/ffhq-dataset
- Google Facial Expression Comparison - https://research.google/tools/datasets/google-facial-expression/
- Youtube with Facial Keypoints - https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints
- OpenFace - a Python and Torch implementation of face recognition with deep neural networks and is based on the paper FaceNet, from Google Inc. https://cmusatyalab.github.io/openface/
- Deepface - wraps several state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace. https://github.com/serengil/deepface
- InsightFace - an open source 2D & 3D deep face analysis toolbox, mainly based on PyTorch and MXNet. https://github.com/deepinsight/insightface
- FaceNet - TensorFlow implementation of the face recognizer with deep neural networks described in FaceNet paper. https://github.com/davidsandberg/facenet
- https://towardsdatascience.com/cnn-based-face-detector-from-dlib-c3696195e01c
- https://trio.dev/blog/facial-recognition-applications
- https://cv-tricks.com/object-detection/faster-r-cnn-yolo-ssd/
- https://towardsdatascience.com/understanding-ssd-multibox-real-time-object-detection-in-deep-learning-495ef744fab
- https://foundationsofdl.com/2020/11/07/ssd300-implementation/
- https://jonathan-hui.medium.com/ssd-object-detection-single-shot-multibox-detector-for-real-time-processing-9bd8deac0e06
- https://medium.com/sciforce/face-detection-explained-state-of-the-art-methods-and-best-tools-f730fca16294
- https://towardsdatascience.com/face-detection-models-which-to-use-and-why-d263e82c302c
- https://arxiv.org/pdf/1811.00116.pdf - Face Recognition: From Traditional to Deep Learning Methods
- https://arxiv.org/abs/1502.00046