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This module classifies and tests the accuracy of ResNet and VGG models trained on ImageNet dataset. Loads the ResNet(winner) and VGG16 (runner up) of ImageNet Large Scale Recognition Challenge to predict and classify.

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nikitamalviya/imagenet-classification-with-keras-using-ResNet-and-VGG

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ImageNet classification with Python and Keras using ResNet and VGG

  • This module classify and tests the accuracy of ResNet and VGG models trained on ImageNet dataset.

  • Loads the ResNet(winner) and VGG16 (runner up) of ImageNet Large Scale Recognition Challenge to predict and classify.

  • Predicts and Classify to save the output in ./output/ directory.

  • By default ResNet is selected for prediction which can be changed in the code by selecting the function.

Execution

  1. pip3 install -r requirements.txt

  2. python3 test_imagenet.py --image image.jpg

Results

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This module classifies and tests the accuracy of ResNet and VGG models trained on ImageNet dataset. Loads the ResNet(winner) and VGG16 (runner up) of ImageNet Large Scale Recognition Challenge to predict and classify.

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