ImageNet pre-trained models with batch normalization for the Caffe framework
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Updated
Nov 26, 2017 - Python
ImageNet pre-trained models with batch normalization for the Caffe framework
Python OpenCV face detection and identification using ResNet pre-trained model, implementation example.
A low-cost AI-based screening system that can be installed at various locations. The objective of our solution is to automate the task of face mask detection, check for social distancing and body temperature scanning. Our proposed model outperformed other existing solutions by achieving an accuracy of 99% and an F1 score of 0.99.
Face Mask Detection API powered by FastAPI, RetinaFace Detector and Res10.
List of computer vision tasks with example code
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