Image Classification

Active Learning: A Smart Vaccine for the Modern Machine learning Problems

Machine Learning Reality Check In the Machine Learning World or broadly in the AI Universe, the colonists such as Data Scientists, Machine Learning Engineers, Deep Learning Specialist are coached towards a belief i.e. “More Training Data Means Highly Accurate Production Model“. Which to some extent is unavoidably true but predominately it’s also a fact, that …

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Data Scientist Be “Aware”: Overlooking these 6 Alerts could subject your Image Classification Dataset to Potential Risks

Introduction The Intention of this blog is to facilitate better communication between Data Scientists and the Data Annotation teams spread across the organization precisely with regards to the labeling task for image classification use case. As it’s being said, “opportunity never knock twice” but this clear-cut leaflet in the hands of “Image Annotators” will help …

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Image classification

How to Formulate Image classification problem for Data collection and Labeling

Image classification or Image tagging is the simplest yet powerful capability of computer vision. Just able to tag images has so many uses in e-commerce, stock-photo sites, visual search, organizing photos, etc. Creating a good image classification model depends on the dataset. In this blog, we shall go through the nuances of creating a good …

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Why NeuralMarker: Platform for Training Data Annotation for Deep Learning

Why NeuralMarker? ‍ In the last 5 years, I have seen dozens of Deep Learning projects which made into production. Every time, we were able to push the models in production, we always followed more or less similar process. It had more to do with training data than the algorithm. It was always painful and …

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