| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': airplane |
| '1': baseball field |
| '2': basketball court |
| '3': beach |
| '4': bridge |
| '5': cemetery |
| '6': chaparral |
| '7': christmas tree farm |
| '8': closed road |
| '9': coastal mansion |
| '10': crosswalk |
| '11': dense residential |
| '12': ferry terminal |
| '13': football field |
| '14': forest |
| '15': freeway |
| '16': golf course |
| '17': harbor |
| '18': intersection |
| '19': mobile home park |
| '20': nursing home |
| '21': oil gas field |
| '22': oil well |
| '23': overpass |
| '24': parking lot |
| '25': parking space |
| '26': railway |
| '27': river |
| '28': runway |
| '29': runway marking |
| '30': shipping yard |
| '31': solar panel |
| '32': sparse residential |
| '33': storage tank |
| '34': swimming pool |
| '35': tennis court |
| '36': transformer station |
| '37': wastewater treatment plant |
| splits: |
| - name: train |
| num_bytes: 821222673.6 |
| num_examples: 30400 |
| download_size: 1422129774 |
| dataset_size: 821222673.6 |
| license: other |
| task_categories: |
| - image-classification |
| - zero-shot-image-classification |
| --- |
| # Dataset Card for "PatternNet" |
|
|
| ## Dataset Description |
|
|
| - **Paper** [PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042) |
|
|
| ### Licensing Information |
|
|
| For research purposes. |
|
|
| ## Citation Information |
|
|
| [PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042) |
|
|
| ``` |
| @article{zhou2018patternnet, |
| title = {PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval}, |
| author = {Zhou, Weixun and Newsam, Shawn and Li, Congmin and Shao, Zhenfeng}, |
| year = 2018, |
| journal = {ISPRS journal of photogrammetry and remote sensing}, |
| publisher = {Elsevier}, |
| volume = 145, |
| pages = {197--209} |
| } |
| ``` |
