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https://github.com/anandarauf/wifu-detection
Machine Learning Wifu Detection from Dataset Anime and Manga
https://github.com/anandarauf/wifu-detection
anime data-science dicoding dicoding-submission machine-learning machinelearning manga numpy object-detection pandas pandas-python python3 sklearn tensorflow waifu waifu-detection
Last synced: about 5 hours ago
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Machine Learning Wifu Detection from Dataset Anime and Manga
- Host: GitHub
- URL: https://github.com/anandarauf/wifu-detection
- Owner: AnandaRauf
- License: mit
- Created: 2024-01-27T22:33:21.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-27T22:39:42.000Z (about 1 year ago)
- Last Synced: 2024-05-21T06:04:58.487Z (9 months ago)
- Topics: anime, data-science, dicoding, dicoding-submission, machine-learning, machinelearning, manga, numpy, object-detection, pandas, pandas-python, python3, sklearn, tensorflow, waifu, waifu-detection
- Language: Jupyter Notebook
- Homepage:
- Size: 1.54 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Wifu Detection
Machine Learning Wifu Detection from Dataset Anime and Manga-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Submission Dicoding Bank DBS Coding Camp 2024.
Setting you GPU, you must have Google Collab Pro.
How to use?
1. [Sign in Google Collab](https://colab.research.google.com/)
2. Create new folder: gambar,dataset,and Save_Dataset.
3. Upload file dataset anime.csv and manga.csv to folder dataset.
4. Upload image Chiya to folder gambar.
5. Running program in Google Collab.Have a problem?
Contacts:
1.[Email](https://mailto:[email protected])
2.[Instagram](https://www.instagram.com/anandaraufm00)
3.[Linkedin](https://www.linkedin.com/in/ananda-rauf-maududi-)-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------