Machine Learning Project
Author: Kelly Lwin
Course: CS 4200 Artificial Intelligence, CPP Spring 2025
Assignment: Course Project
Last Updated: April 2025
- Python
Install dependencies with:
pip install tensorflow numpy matplotlib nltk opencv-python fiftyone pillowA large-scale object detection, segmentation, and captioning dataset licensed under CC BY 4.0.
COCO Dataset
Bossard, L., Guillaumin, M., & Van Gool, L. (2014). Food-101 – Mining Discriminative Components with Random Forests. European Conference on Computer Vision.
@inproceedings{bossard14,
title = {Food-101 -- Mining Discriminative Components with Random Forests},
author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},
booktitle = {European Conference on Computer Vision},
year = {2014}
}Hendrycks, D., Basart, S., Mu, N., Kadavath, S., Wang, F., Dorundo, E., Desai, R., Zhu, T., Parajuli, S., Guo, M., Song, D., Steinhardt, J., & Gilmer, J. (2021).
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV.
@article{hendrycks2021many,
title = {The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization},
author = {Hendrycks, Dan and Basart, Steven and Mu, Norman and Kadavath, Saurav and Wang, Frank and Dorundo, Evan and Desai, Rahul and Zhu, Tyler and Parajuli, Samyak and Guo, Mike and Song, Dawn and Steinhardt, Jacob and Gilmer, Justin},
journal = {ICCV},
year = {2021}
}- Programming Language: Python 3.12.10
- IDE/Notebook: Jupyter Notebook, VS Code
- Framework: TensorFlow 2.19.0