Ideas
Two topics I am interested replicating from wandb benchmarks:
-
super resolution: https://wandb.ai/wandb/superres/benchmark
-
poverty mapping with satellite data: https://wandb.ai/thinkingmachines/ph-poverty-mapping/benchmark
Other topics I'm interested in:
-
Building and deploying a GAN similar to using my own drawings or other open sourced art I've gathered as a dataset
- Ideas for datasets: protest signs, propaganda posters, gritty (eg., japanese product or sports mascots?), african masks
-
Object detection:
- Curb cuts for accessiblity or piles of trash from satellite imagery
- Using a webcam video source: poor posture, face touching, or cleanched jaw.
- Using a webcam: hornet activity (or bird activity?) in backyard
-
Handwriting recognition / OCR
- Graffiti text
- Husband's writing
-
Super resolution
- Old cartoons
- Vintage clothing
- Drawings
Alternate projects:
- Contribute to fastai library
- Contribute to stylegan / stylegan-ada fork
Tooling:
- Mlflow
- Docker
- AWS/GCP
- Streamlit
Proposal
Guidelines: https://docs.google.com/document/d/1wyDSJsunIlheSRXiGCVEnrqYU7RPyvAX2mkAwmMKlMk/edit
Example proposal: https://docs.google.com/document/d/1w5czuaR87WIxF6PXwsxnoguzRIIyrCZk0yY_com0QaE/edit
Project Name:
Team: Ugaso Sheikh-Abdi
Project Goal:
What dataset will you use, or how do you plan to collect data?
What baseline will you use?
What model architecture / loss function do you propose?
What will the end result look like?
What’s your stretch goal: