Computer Vision

Segmentation 101 : The Largest list of Open and Searchable Segmentation Datasets

Segmentation 101 a.k.a. SEG 101 is an exhaustive list we have created to make it easier for you to search publicly available Image Segmentation datasets. Segmentation is one of the most time-consuming annotation tasks. Sometimes, before collecting your own dataset, you do want to experiment on a publicly available dataset. So, we created this list …

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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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