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Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets. The experts did a great job not only explaining the... Read More
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We are all aware of how online shopping and e commerce is growing rapidly. Hence, it is imperative for computer vision systems to automatically and accurately recognize products based on images at the stock keeping unit (SKU) level. This project mainly focuses on meeting this market need. The core idea of this project is search and find images of products similar to any given image of a product.
To find images similar to any given image from the database
The dataset includes images from 2,019 product categories with one ground truth class label for each image. It includes a total of 1,011,532 images for training, 10,095 images for validation and 90,834 images for testing.
It is to be noted that for each image,only the URL is provided. Users need to download the images by themselves. It is also to be noted that the image URLs may become unavailable over time.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.
In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.