NumberRecognition
tutorial-face-mask-detection
NumberRecognition | tutorial-face-mask-detection | |
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1 | 1 | |
3 | 86 | |
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0.0 | 10.0 | |
over 3 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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NumberRecognition
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How To Process These Image in Python Using OpenCV
You can also check my Github repository for the codes (https://github.com/PhilipPurwoko/NumberRecognition). I really appreciate all of your responses. Thank you
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.
What are some alternatives?
class-finder - this project is a combination of 3 mini projects heart attack prediction, diabetes prediction and Banknote Counterfeit Detection
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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
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]
Steganography - Hiding Text and Image inside an Image
observations
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.