tutorial-face-mask-detection
observations
tutorial-face-mask-detection | observations | |
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1 | 1 | |
86 | 431 | |
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10.0 | 0.0 | |
over 1 year ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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tutorial-face-mask-detection
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Face Mask Detection - tutorial
Our validation and testing data consists of images of people with and without masks that we collected from various sources that provide images with permissive licences (e.g. pexels.com, unsplash.com). We have manually annotated all faces in the collected images, and labeled them as being masked or not (using the makesense.ai annotation tool). We collected 273 images which contain 524 faces (246 masked and 278 non-masked). The images are split 50/50 over the validation set and test set. An overview of the collected data and corresponding URLs and ground truth annotations can be found in test_validation_metadata.csv.
observations
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Face Mask Detection - tutorial
This strategy is based on the description that you can find in the prajnasb/observations repository. We apply 13 masks with different shapes and colors to generate training data, which you can find in data/mask-templates. Below you can see an example of a mask being artificially applied.
What are some alternatives?
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building. [Moved to: https://github.com/datarootsio/tutorial-face-mask-detection]
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
DSFD-Pytorch-Inference - A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards
Steganography - Hiding Text and Image inside an Image
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Social_Distancing_with_AI - Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.