Image classification of natural scenes using a transfer learning model.
- An InceptionNetV3 (with imagenet weights) based transfer learning model used to classify images of natural scenery.
- A flask deployment of the final model where users can test the model using their own images (from the given image categories).
This dataset contains images of natural scenes from around the world. There are a total of 25K images of size 150x150 divided into 6 categories: Buildings, Forests, Glaciers, Mountains, Sea and Streets. This dataset was initially published on https://datahack.analyticsvidhya.com/contest/practice-problem-intel-scene-classification-challe/#About by Intel to host a Image classification Challenge.