This repository contains artifacts that support work on Ethical AI
The blur-license-plate-tutorial.ipynb demonstrates capabilities to detect and blur license plates in images.
The scripts comes with sample images for testing. The images are loaded from 'license-plate' directory and the processed (blurred) images are saved under 'license-plate-processed' directory.
The script is tested on Ubuntu 16.04 and Python 2.7
Iman Saleh [email protected]
Affero GPLv3 http://www.gnu.org/licenses/agpl-3.0.html
The blur-face-tutorial.ipynb demonstrates capabilities to detect and blur faces in images.
The scripts comes with sample images for testing. The images are loaded from 'pedestrian; directory and the processed (blurred) images are saved under 'pedestrian-processed' directory.
The script is tested on Ubuntu 16.04 and Python 2.7 and requires Tensorflow, Numpy, OpenCV and Pillow.
Cory Ilo [email protected]
Affero GPLv3 http://www.gnu.org/licenses/agpl-3.0.html
The Bias_Detection.ipynb demonstrates capabilities to measure bias in the model.
The script downloads images and models hosted in [AWS S3] (https://s3-us-west-1.amazonaws.com/strata-bias-data2/inputdata.tar.gz). The script runs detection on images and models in inputdata directory. The script then calculates mean difference and unexplainable mean difference between pedestrian detection accuracy at day time vs night time images. The detected images are stored in outputdata directory.
The script is tested on Centos 7.6 and Python 3.6 and requires Tensorflow, Numpy, OpenCV and Pillow.
Cindy Tseng [email protected]
Affero GPLv3 http://www.gnu.org/licenses/agpl-3.0.html