This project utilizes a pre-trained image classifier to identify dog breeds. It is part of the Udacity Nanodegree program. The classifier can take an image of a dog and predict its breed or determine if a human in the image resembles a particular dog breed.
The repository contains the following folders and files:
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Folders:
Picture for readme file
: Contains images for the README file.__pycache__
: Contains compiled Python files.pet_images
: Contains images of dogs for the project.uploaded_images
: Contains images uploaded for classification.
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Files:
LICENSE
: The MIT license file.README.md
: This readme file.adjust_results4_isadog.py
: Script to adjust results for is-a-dog determination.adjust_results4_isadog_hints.py
: Hints foradjust_results4_isadog.py
.calculates_results_stats.py
: Script to calculate statistics of results.calculates_results_stats_hints.py
: Hints forcalculates_results_stats.py
.
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Clone the repository:
git clone https://github.com/niloydebbarma-code/Udacity-Use-a-Pre-trained-Image-Classifier-to-Identify-Dog-Breeds.git cd Udacity-Use-a-Pre-trained-Image-Classifier-to-Identify-Dog-Breeds
This project is licensed under the MIT License. For more details, see the LICENSE file.
- Udacity for providing the project guidelines and resources.
- The developers of the libraries and tools used in this project.
For any questions or comments, please contact Niloy Deb Barma at LinkedIn.