Faster Machine Learning using Hub by Activeloop

Faster Machine Learning using Hub by Activeloop

Faster Machine Learning Using Hub by Activeloop. Here is a code walkthrough of using the hub package for satellite imagery

Introduction

Machine learning engineers work less on machine learning and more on data preparation. In fact, a typical ML engineer spends more than 50% of their time preprocessing the data, rather than analyzing it. Preparing data pipelines so that the team of engineers can utilize the data takes a lot of time, which makes running machine learning experiments and collaborating in a team quite a difficult task.

My team of machine learning engineers and I recently faced similar problems while working on a project with Omdena, as well as the World Resources Institute. Thankfully, we had the support of the Activeloop team and their open-source package Hub, which made it easier for our group of collaborators to work simultaneously on running experiments and reach our end goal much faster. You can think of Activeloop’s Hub as the Docker Hub for datasets.

satellite-technology deep-learning-framework scalability fastai machine-learning

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