Being able to quickly get your hands on datasets for testing algorithms and building models has become a vital skill for contemporary data scientists and machine learning engineers. Being able to move a semi-complete dataset to one that is fully annotated, fleshed out with additional augmented data, and ready to move on to building models with is equally important. For those of us holding incomplete data, and needing some help getting it from "not quite" to "let's go!", here are 3 projects found around GitHub that can help with your data acquisition, annotation, and augmentation tasks. Need to build yourself a custom image dataset for your project? Google Images Download might be able to help.

I work predominantly in NLP for the last three months at work. It's been a long time I work on the image data. Hence, I decided to build a unique image classifier model as part of my personal project and learning. One thing I am really missing in the current pandemic is traveling. These days I used to see a lot of travel vlogs and travel pictures on Instagram, wondering when we will go back to the normal world.

I work predominantly in NLP for the last three months at work. It's been a long time I work on the image data. Hence, I decided to build a unique image classifier model as part of my personal project and learning. One thing I am really missing in the current pandemic is traveling. These days I used to see a lot of travel vlogs and travel pictures on Instagram, wondering when we will go back to the normal world.