https://github.com/manuelz/fellowship_ai_challenge
Submission for the Fellowship.ai CV challenge, sept 2023
https://github.com/manuelz/fellowship_ai_challenge
classification deep-learning python tensorflow transfer-learning
Last synced: about 2 months ago
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Submission for the Fellowship.ai CV challenge, sept 2023
- Host: GitHub
- URL: https://github.com/manuelz/fellowship_ai_challenge
- Owner: ManuelZ
- Created: 2023-09-29T19:44:40.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-29T20:50:49.000Z (almost 3 years ago)
- Last Synced: 2025-07-22T09:50:14.358Z (11 months ago)
- Topics: classification, deep-learning, python, tensorflow, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 8.27 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fellowship.ai CV challenge
This repository consists of two notebooks: one dedicated to Exploratory Data Analysis (EDA), where the Oxford's 102 Flowers dataset characteristics and properties are examined, and another focused on model building for the Fellowship.ai Computer Vision challenge, where a deep learning model based on ResNet50 is trained through Transfer Learning, using the insights gained from the EDA.