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This repo contains the ml-code and front-end code for the weed-detection solution with UNDP data

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AgriSmart Weed Detector with undp-data-challenge

This repo contains the ml-code and front-end code for the AgriSmart weed-detection solution with UNDP crop and weed seedlings dataset : https://www.kaggle.com/vbookshelf/v2-plant-seedlings-dataset

  • ml-code directory contains the scripts to process UNDP data and train the weed detection model. It also contains the azure ml model registration & deployment workflow
  • frontend-app directory contains the angular application which connects to the weed detection prediction API and retrieve results.

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This repo contains the ml-code and front-end code for the weed-detection solution with UNDP data

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