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5 Best Practices for Video Labeling Projects

How to ensure your video machine learning projects will perform well and solve real-life problems? Algorithms are trained with data and the challenge becomes more complex when proceeding with data from videos. Companies today get access to more and more unstructured data, and the share of video assets is greatly increasing. Leveraging videos to build … Continue reading 5 Best Practices for Video Labeling Projects

Improving data annotation with Superpixels

Improving data annotation with Superpixels To understand the need for superpixels in segmentation we must first understand what is image segmentation. Image segmentation consists in detecting specific regions in an image. In concrete terms, this means detecting the shape of objects of different categories in images. Therefore, when segmenting an image, we give a class … Continue reading Improving data annotation with Superpixels

What Workflow to Follow to Manage Model Accuracy Performance?

What Workflow to Follow to Manage Model Accuracy Performance? Introduction Enhancing a model performance can be challenging at times. I’m sure many of you would agree that you’ve found yourself stuck in a similar situation. You try all the strategies and algorithms that you’ve learned, yet performance does not increase significantly. As a result, we … Continue reading What Workflow to Follow to Manage Model Accuracy Performance?

Better Training Data, Better AI

Better Training Data Better AI. Since the 80's the AI paradigm has been Better Models =  Better AI. Today the limitations of this paradigm are clear: significant efforts for marginal performance improvements, restricted access to overspecialized engineers, low explainability, low control, and prohibitive project costs. @Kili Technology, we are believers. 3 years ago, Edouard d’Archimbaud … Continue reading Better Training Data, Better AI

My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do?

My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do? Data Quality as a first response Introduction The ultimate goal of every data scientist or company that builds ML models is to create the better model with the highest predictive accuracy in production. Usually, we start with state-of-the-art algorithms being … Continue reading My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do?