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@@ -29,9 +29,11 @@ license_link: https://www.gnu.org/licenses/quick-guide-gplv3.html
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  [Croppie](https://croppie.org/) © 2024 by [Producers Direct](https://producersdirect.org/) and [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/) is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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  # Croppie training datasets
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  ## General information
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- Croppie dataset for machine-vision assisted coffee cherry detection. The dataset is made of a mix of Arabica and Robusta coffee tree parts (with and without a background isolation element) with individual bounding boxes around all coffee cherries.
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  The original dataset is composed of 633 images with about 61 050 unique bounding boxes over coffee cherries in YOLO format. This original dataset has been processed to cut-down all images into 480 x 640 size pieces and the full original image downscaled to 480 x 640. We provide the processed dataset with Python scripts that allow easy visualization of the annotated dataset.
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  ```python3 label_training_images.py```
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  ## License
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- [Croppie](https://croppie.org/) © 2024 by [Producers Direct](https://producersdirect.org/) and [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/) is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
 
 
 
 
 
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  [Croppie](https://croppie.org/) © 2024 by [Producers Direct](https://producersdirect.org/) and [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/) is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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+ **Funded by**: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) [Fair Forward Initiative - AI for All](https://huggingface.co/fair-forward)
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  # Croppie training datasets
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  ## General information
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+ Croppie dataset for machine-vision assisted coffee cherry detection. The dataset is made of a mix of Arabica and Robusta coffee tree parts (with and without a background isolation element) with individual bounding boxes around all coffee cherries. These RGB pictures were on-farm collected with smartphones with the collaboration of smallholder farmers. For instance, this dataset can be used for automated cherry count or coffee ripeness assessment.
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  The original dataset is composed of 633 images with about 61 050 unique bounding boxes over coffee cherries in YOLO format. This original dataset has been processed to cut-down all images into 480 x 640 size pieces and the full original image downscaled to 480 x 640. We provide the processed dataset with Python scripts that allow easy visualization of the annotated dataset.
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  ```python3 label_training_images.py```
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  ## License
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+ [Croppie](https://croppie.org/) © 2024 by [Producers Direct](https://producersdirect.org/) and [Alliance Bioversity & CIAT](https://alliancebioversityciat.org/) is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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+ ## Funding
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+ **Funded by**: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) [Fair Forward Initiative - AI for All](https://huggingface.co/fair-forward)