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repo with data and code samples for running object detection, classification jobs using Nanonets API.
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image_classification Update image_classification.ipynb Jan 22, 2019
multi_label_classification
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CODE_OF_CONDUCT.md Create CODE_OF_CONDUCT.md Jan 30, 2019
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README.md

README.md

Tutorials

Repository with data and code samples for running object detection and classification jobs using Nanonets API.

Object Detection

  • data
    • Contains the data for building and training an Object Detection Model to detect and find the coordinates of the Millenium Falcon and TieFighters in a given image.
  • notebooks
    • Contains the ipython notebook which can be used as a reference or launched using mybinder to try out the APIs yourself and build your own object detection model1.

Image Classification

  • data
    • Contains the data for building and training a simple two class image classification model2 to identify cats or dogs.
  • notebooks
    • Contains the ipython notebook which can be used as a reference or launched using mybinder to try out the APIs yourself and build your own image classification model1.

1: You will need a valid authentication key from https://app.nanonets.com/#/keys to be able to create models.

2: You can very trivially extend this example to a multi-class classification model by adding more categories and uploading data for the newly added categories.

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