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README.md
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- split: train
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path: raw/train-*
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default: true
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---
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- split: train
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path: raw/train-*
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default: true
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license: cc-by-4.0
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task_categories:
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- image-classification
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size_categories:
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- 10K<n<100K
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---
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# Tropical Forest Classification
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This dataset provides real RGB images of tropical forest tree species, collected in a laboratory environment in Popayan, Colombia. Images were captured using a handheld digital magnifying glass at 640x480 pixel resolution, focusing on detailed botanical specimens for classification tasks. The dataset contains raw and augmented versions.
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The raw dataset contains 10,795 images.
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Images per class:
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- Campnosperma panamensis: 826
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- Cedrela Odorata: 1,128
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- Cedrelinga cateniformis: 1,189
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- Cordia alliodora: 929
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- Cupresus Lusitanica: 815
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- Dialyanthera gracilipes: 1,100
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- Eucalyptus globulus: 1,105
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- Fraxinus uhdei: 1,025
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- Handroanthus chrysanthus: 1,106
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- Humiriastrum procerum: 1,001
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- Pinus patula: 571
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The augmented dataset contains 9,664 images.
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Images per class:
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- Campnosperma panamensis: 823
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- Cedrela Odorata: 0
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- Cedrelinga cateniformis: 1,189
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- Cordia alliodora: 929
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- Cupresus Lusitanica: 815
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- Dialyanthera gracilipes: 1,100
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- Eucalyptus globulus: 1,105
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- Fraxinus uhdei: 1,025
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- Handroanthus chrysanthus: 1,106
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- Humiriastrum procerum: 1,001
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- Pinus patula: 571
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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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```bibtex
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<!-- TODO: add BibTeX citation -->
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```
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<!-- TODO: add plain text citation -->
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The dataset itself can be cited as:
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Ordoñez Urbano, C. F. (2020). *Tropical Forest Species* [Dataset]. Mendeley. https://doi.org/10.17632/YZZCBYVGMH.3
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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