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Counterfactual data augmentation to speed up NLP data labeling

Counterfactual data augmentation to speed up NLP data labeling As algorithms grow more complex, they also grow hungry for more data, to be able to learn precisely the meaning of the sentence. In Text Classification task for example, the variety of words encountered allows for a much more resilient algorithm, especially when in production with … Continue reading Counterfactual data augmentation to speed up NLP data labeling

How to read & label dicom medical images on Kili

How to read & label dicom medical images on Kili In this tutorial, we will show you how to upload medical images to Kili Technology. We will use pydicom, a python package, to read medical data in a Dicom format. Data used in this tutorial comes from the RSNA Pneumonia Detection Challenge hosted on Kaggle … Continue reading How to read & label dicom medical images on Kili

How to chain annotation projects with webhooks on Kili

Kili Tutorial: How to chain annotation projects with webhooks on Kili In this tutorial, we will show how to use webhooks to monitor actions in Kili, such as a label creation. The goal of this tutorial is to illustrate some basic components and concepts of Kili in a simple way, but also to dive into … Continue reading How to chain annotation projects with webhooks on Kili

What is Video Annotation for Deep Learning

Video annotation is the process of labelling video clips. This is done to prepare it as a dataset for training deep learning (DL) and machine learning (ML) models. These pre-trained neural networks are then used for computer vision applications, such as automatic video classification tools. ML is a field of artificial intelligence (AI) research, which … Continue reading What is Video Annotation for Deep Learning

How to Create a Dataset to Train Your Machine Learning Applications

The dataset that you use to train your machine learning models can make or break the performance of your applications. For example, using a text dataset that contains loads of biased information can significantly decrease the accuracy of your machine learning model. This was what happened to Amazon's initial tests. They trained a machine learning … Continue reading How to Create a Dataset to Train Your Machine Learning Applications