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Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

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Mstfakts/Small_Object_Detection_and_Tracking_from_Aerial_Imagery

 
 

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This is an implementation of "M. Aktaş and H. F. Ateş, "Small Object Detection and Tracking from Aerial Imagery," 2021 6th International Conference on Computer Science and Engineering (UBMK), 2021, pp. 688-693, doi: 10.1109/UBMK52708.2021.9558923"

This repository is the official implementation of "...". Faster-RCNN ❤️

License

Detectron2 is released under the Apache 2.0 license.

Citing Detectron2

If you use Detectron2 in your research or wish to refer to the baseline results published in the Model Zoo, please use the following BibTeX entry.

@misc{wu2019detectron2,
  author =       {Yuxin Wu and Alexander Kirillov and Francisco Massa and
                  Wan-Yen Lo and Ross Girshick},
  title =        {Detectron2},
  howpublished = {\url{https://github.com/facebookresearch/detectron2}},
  year =         {2019}
}

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Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

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  • Python 93.3%
  • Cuda 3.6%
  • C++ 2.6%
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