In the past few months at MavenCode we have been working on “Contextual Scene Parsing” projects where we needed to identify entities in an image with great accuracy (down to the pixel level) using a Deep Learning Semantic Segmentation approach. One of the primary challenges for effective machine learning and artificial intelligence modeling is to have a constant stream of datasets to train models accurately. However, it’s not only the quantity that matters, but also the quality of the training datasets. If the dataset that is being fed in for model training has not been cleaned, reviewed, and properly curated…

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We build scalable data pipeline infrastructure & deploy machine learning and artificial intelligence models.

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