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intel-image-classification's Introduction

Intel-Image-Classification Image classification algorithm created using Fast.ai

Context This is image data of Natural Scenes around the world.

Content This Data contains around 25k images of size 150x150 distributed under 6 categories. {'buildings' -> 0, 'forest' -> 1, 'glacier' -> 2, 'mountain' -> 3, 'sea' -> 4, 'street' -> 5 }

There are around 14k images in Train, 3k in Test and 7k in Prediction. This data was initially published on https://datahack.analyticsvidhya.com by Intel to host a Image classification Challenge.

Problem definition To build powerful Neural network that can classify these images with more accuracy.

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