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EfficientDet Pytorch Implementation with Roboflow

Thanks to Monk_Object_Detection for providing the pytorch implementation! Tessellate Imaging - https://www.tessellateimaging.com/

Running on local? Check out ./3_mxrcnn/installation for installation requirements that are different than the Colab tutorial.

What You Will Learn

  • How to load your custom image detection data from Roboflow
  • How to instatiate a pytorch EfficientDet model
  • How to train the EfficientDet model
  • How to use the model for quick inference
  • How to export the model weights for future inference
  • How to reload the model weights

Resources

  • This blog post provides an in depth dive into using the tutorial
  • This notebook provides the code necessary to run the tutorial Open In Colab
  • For reading purposes, the notebook is also saved in Tutorial.ipynb

About Roboflow for Data Management

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.

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Copyright

Copyright 2019 onwards, Tessellate Imaging Private Limited Licensed under the Apache License, Version 2.0 (the "License"); you may not use this project's files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.

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