This project intends to provide a python application , which allow to animals protection association to detect dogs' breed based on their images provided by their owners. We had tested two approaches : classical approach with features extractions, bags of visual words and traditional machine learning classifiers. Modern approach, wich consist to use cnn and transfer learning.
- Python
- Scikit-Learn
- Deep learning
- Keras
- transfer learning (vgg16)
- openCV
- SIFT features extractors
To get a local copy up and running follow these simple example steps.
- Open terminal
- Clone this project by the command:
$ git clone git@github.com:Taher-web-dev/Perform-automatic-image-indexing.git
- Then go to the main folder using the next command:
$ cd Perform-automatic-image-indexing
- IDE to edit and run the code (We use Jupyter Notebook 🔥).
- Git to versionning your work.
- Data scientist practioner
- For anyone interested by computer vision topics.
👤 Taher Haggui
- GitHub: @TaherHaggui
- LinkedIn: @TaherHaggui
Contributions, issues, and feature requests are welcome!
Give a ⭐️ if you like this project!
- Openclassroom 💘 (https://openclassrooms.com/fr/)
- CentraleSupelec 💘(https://www.centralesupelec.fr/)
- My family's support 🙌
This project is Openclassroom licensed.