GitHub / sankalpjain99 / Flower-Species-Classifier
Trained an image classifier to identify a total of 102 flower species. Data Augmentation was used to bring variety in the dataset. I also made a command-line interface for training and testing our model with various parameters using the ArgumentParser library in Python. Transfer Learning with VGG16 and Densenet121 was used to train our neural network using PyTorch.
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PURL: pkg:github/sankalpjain99/Flower-Species-Classifier
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 244 KB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 2 years ago
Pushed at: about 5 years ago
Last synced at: almost 2 years ago
Topics: command-line-tool, densenet121, flower-classification, image-classification, pytorch, udacity-nanodegree, vgg16