| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: int64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': ALOMY |
| '1': ANGAR |
| '2': APESV |
| '3': ARTVU |
| '4': AVEFA |
| '5': BROST |
| '6': BRSNN |
| '7': CAPBP |
| '8': CENCY |
| '9': CHEAL |
| '10': CHYSE |
| '11': CIRAR |
| '12': CONAR |
| '13': EPHHE |
| '14': EPHPE |
| '15': EROCI |
| '16': FUMOF |
| '17': GALAP |
| '18': GERMO |
| '19': LAPCO |
| '20': LOLMU |
| '21': LYCAR |
| '22': MATCH |
| '23': MATIN |
| '24': MELNO |
| '25': MYOAR |
| '26': PAPRH |
| '27': PLALA |
| '28': PLAMA |
| '29': POAAN |
| '30': POLAV |
| '31': POLCO |
| '32': POLLA |
| '33': POLPE |
| '34': RUMCR |
| '35': SENVU |
| '36': SINAR |
| '37': SOLNI |
| '38': SONOL |
| '39': STEME |
| '40': THLAR |
| '41': URTUR |
| '42': VERAR |
| '43': VERPE |
| '44': VICHI |
| '45': VIOAR |
| - name: species |
| dtype: string |
| - name: location |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 49542868853 |
| num_examples: 7590 |
| download_size: 44700045707 |
| dataset_size: 49542868853 |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Oppd Plant Detection |
|
|
| This dataset provides real-world RGB images of multiple plant species in agricultural field settings, designed for object detection research. Captured under natural lighting conditions, it offers a diverse collection of plant instances for computer vision applications in precision agriculture. The dataset contains 7,590 images with 315,041 bounding box annotations across 46 categories. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{leminen2020open, |
| title={Open plant phenotype database of common weeds in Denmark}, |
| author={Leminen Madsen, Simon and Mathiassen, Solvejg Kopp and Dyrmann, Mads and Laursen, Morten Stigaard and Paz, Laura-Carlota and J{\o}rgensen, Rasmus Nyholm}, |
| journal={Remote Sensing}, |
| volume={12}, |
| number={8}, |
| pages={1246}, |
| year={2020}, |
| publisher={MDPI} |
| } |
| ``` |
|
|
| https://vision.eng.au.dk/open-plant-phenotyping-database/ |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
