https://github.com/vikram0230/natural-image-classification

This Tensorflow model classifies 8 categories of images. InceptionResNetV2 is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.
https://github.com/vikram0230/natural-image-classification

accuracy classification imagenet-dataset kaggle

Last synced: about 1 month ago
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This Tensorflow model classifies 8 categories of images. InceptionResNetV2 is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.

• Host: GitHub
• URL: https://github.com/vikram0230/natural-image-classification
• Owner: vikram0230
• Created: 2021-01-06T13:55:32.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-01-07T11:27:32.000Z (over 4 years ago)
• Last Synced: 2025-03-22T07:30:06.769Z (7 months ago)
• Topics: accuracy, classification, imagenet-dataset, kaggle
• Language: Jupyter Notebook
• Homepage:
• Size: 428 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Natural-Image-Classification

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1LRLi3PZKX5ndeQRkEDw3eATShs2FfUAv?usp=sharing)



### This Tensorflow model classifies 8 categories of images 

- Airplane

- Car

- Cat

- Dog

- Flower

- Fruit

- Motorbike

- Person

### Transfer Learning

[InceptionResNetV2](https://keras.io/api/applications/inceptionresnetv2/) is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.

Data Source: [Kaggle](https://www.kaggle.com/prasunroy/natural-images)