cs230-project

Stanford CS230: Deep Learning Class Project

https://github.com/jamesbraza/cs230-project

Science Score: 26.0%

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    Low similarity (11.0%) to scientific vocabulary

Keywords

course deep-learning image-classification machine-learning stanford
Last synced: 6 months ago · JSON representation

Repository

Stanford CS230: Deep Learning Class Project

Basic Info
  • Host: GitHub
  • Owner: jamesbraza
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 63.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
course deep-learning image-classification machine-learning stanford
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Citation

README.md

cs230-project

Laundry Image Classification

This repo's origin is a class project for Stanford CS230 Deep Learning. On the left and right you will see the output of a ResNet50 we fully trained. The left image is only trained on one dataset (small), the right image is trained on two datasets (small + full). Please see the data directory for more information on the datasets available.

ResNet50 trained on clothing_dataset_small         ResNet50 trained on a merged clothing_dataset_small and clothing_dataset_full

Explanation of left images:

  • Label: {predicted class} {prediction probability}% ({true class})
  • Blue text: correct prediction
  • Red text: incorrect prediction

Explanation of right images:

  • Blue bars: true class
  • Grey bars: other
  • Red bars (if present): incorrect prediction

Developers

This project was developed using Python 3.8.

Getting Started

Here is how to create a virtual environment to work with this repo:

bash python -m venv venv source venv/bin/activate python -m pip install --upgrade pip setuptools python -m pip install -r requirements.txt

Including Code QA Tooling

We love quality code! If you do too, run these commands after creating the environment:

bash python -m pip install -r requirements-qa.txt pre-commit install

Debugging with tensorboard

Here is how you kick off tensorboard:

bash tensorboard --logdir training

Afterwards, go to its URL: http://localhost:6006/.

Owner

  • Name: James Braza
  • Login: jamesbraza
  • Kind: user
  • Location: San Francisco Bay Area, CA, USA
  • Company: AI Research @Future-House

Just a man eating spaghetti

GitHub Events

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Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 37
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 37
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
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  • jamesbraza (36)
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enhancement (30) bug (4) documentation (2)