Image Classification

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• Case Studies
  • Healthcare
• Image Retrieval / Object Detection
• (Deep) Convolutional Neural Network (DCNN/CNN)
• ResNet-50
• Image/Video Transfer Learning
• Lobe aims to make it easy for anyone to train machine learning models. Free, private desktop application that has everything you need to take your machine learning ideas from prototype to production. This version of Lobe learns to look at images using image classification - categorizing an image into a single label overall. We are working to expand to more types of problems and data in future versions.

Classify Images Using Python & Machine Learning Classify Images Using Machine Learning & Convolutional Neural Networks (CNN)

Using Machine Learning to Classify Multispectral Imagery Watch this informational webinar and learn about how MicaSense and Picterra can help you solve complex image classification problems. MicaSense’s precise and accurate multispectral sensors help capture radiometrically accurate drone-based imagery, while Picterra’s “image analysis made easy” approach offers users a straightforward solution for creating and training machine-learning algorithms; no background in data science or coding required!

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How to Make an Image Classifier - Intro to Deep Learning #6 Siraj Raval We're going to make our own Image Classifier for cats & dogs in 40 lines of Python! First we'll go over the history of image classification, then we'll dive into the concepts behind convolutional networks and why they are so amazing.

Microsoft Lobe

Microsoft acquires Lobe, a drag and drop AI tool Daily Tech News Sept 13, 2018

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