Deep Learning
Face Verification
Models and Parameters used in Face Verification There are several pre-trained models and other parameters required for face verification. Also, face verification is preceded by face detection. Listed below are the models and parameters used in ...
Face Detection
For Face Detection, the algorithm libraries used are MTCNN (Multi-task Cascaded Convolutional Neural Networks) RetinaFace Notes: MTCNN is a faster algorithm compared to RetinaFace. It can be used in the case of images with many faces and where high ...
Number Plate Detection
For Number Plate Detection, the pre-trained models used are Pytesseract Trained Neural Network Notes: Pytesseract is an independent library inside Python for text detection in images. It can detect alphanumeric as well as special characters from the ...