Deep-Learning-Computer-Vision
Face-Mask-Detection
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| Deep-Learning-Computer-Vision | Face-Mask-Detection | |
|---|---|---|
| 1 | 1 | |
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| - | MIT License |
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Deep-Learning-Computer-Vision
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Assignment solutions for Stanford CS231n and Michigan EECS 498-007/598-005
Here is the link to my GitHub repository.
Face-Mask-Detection
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Need help !
Yea re-reading my plan I realize data collection was kinda unneeded! Look through this model https://github.com/chandrikadeb7/Face-Mask-Detection it's one of the better ones I've seen. I'm sure there's a competent dev out there who could take this and help you out. Good luck!!
What are some alternatives?
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
pytorch-implementations - A collection of paper implementations using the PyTorch framework
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
handwritten-digits-recognizer-webapp - This is my first experience with machine learning