# A deep learning method to estimate the size of occluded crops
**This repository has been moved to [GitHub](https://github.com/pieterblok/sizecnn).**
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## Dataset
We have made our image-dataset publicly available under the NonCommercial-ShareAlike 4.0 license (CC BY-NC-SA 4.0). This means that our dataset can only be downloaded and used for non-commercial purposes. Please check whether you or your organization can use our dataset: https://creativecommons.org/licenses/by-nc-sa/4.0/
Our dataset consists of 1613 RGB-D images, including annotations and ground-truth measurements: https://doi.org/10.4121/13603787.v1
Our dataset consists of 1613 RGB-D images, including annotations and ground-truth measurements: https://doi.org/10.4121/13603787
## Pretrained weights
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## License
Our software was forked from ORCNN(https://github.com/waiyulam/ORCNN), which was forked from Detectron2(https://github.com/facebookresearch/detectron2). As such, our CNN's will be released under the [Apache 2.0 license](LICENSE). <br/>
Our software was forked from [ORCNN](https://github.com/waiyulam/ORCNN), which was forked from [Detectron2](https://github.com/facebookresearch/detectron2). As such, our CNN's will be released under the [Apache 2.0 license](LICENSE). <br/>
## Citation
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author = {Pieter M. Blok and Eldert J. van Henten and Frits K. van Evert and Gert Kootstra},