image-crop-analysis VS Face-Mask-Detection

Compare image-crop-analysis vs Face-Mask-Detection and see what are their differences.


Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency (by twitter-research)
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image-crop-analysis Face-Mask-Detection
2 1
241 1,393
3.3% -
0.0 2.3
over 1 year ago 3 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of image-crop-analysis. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning image-crop-analysis yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of Face-Mask-Detection. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Face-Mask-Detection yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing image-crop-analysis and Face-Mask-Detection you can also consider the following projects:

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.

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

deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

Machine_Learning_and_Deep_Learning_models - Repository containing models based on ideas of Machine learning and Deep learning

prometheus-anomaly-detector - A newer more updated version of the prometheus anomaly detector (

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

handwritten-digits-recognizer-webapp - This is my first experience with machine learning

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm