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Implementation of Automated Defect Detection System with Deep Learning.

License: Apache License 2.0

Python 89.10% C++ 3.42% Cuda 6.75% Shell 0.61% Dockerfile 0.10% Makefile 0.03%

object-detection's Introduction

Small Object Detection

Implementation of Automated Small Object Detection System with Deep Learning. The objectives of this project are

  1. to evaluate several deep learning architectures over small object-based datasets
  2. to integrate the detection pipeline with Cytomine, an open-source web platform which fosters collaborative analysis of very large images and allows semi-automatic processing of large image collections via machine learning algorithms.

The works is currently heavily based on Detectron2, a deep learning-based detection framework developed by Facebook, and powered by Pytorch.

Licence

This project is released under the Apache 2.0 license.

object-detection's People

Contributors

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