Data from: CitDet a benchmark dataset for citrus fruit detection
<p>Images in this project represent the raw data in support of "CitDet: A Benchmark Dataset for Citrus Fruit Detection". The images are of the front and back of citrus trees, collected in 2021 and 2022 in Ft. Pierce, Florida from two trials "Bingo2017" or "T50" (.jpg files). These images were collected in a field in which all trees are experiencing 'greening disease' in contrast to trees that have not been exposed. Corresponding observed yield information for the Bingo2017 trial is also available (.txt file).</p> <p>Resources in this dataset:</p> <ul> <li> <p>CitDet Image Files File Name: SharedImages.zip</p> </li> <li> <p>Key for Images File Name: CitDetImageKey.csv</p> </li> <li> <p>Yield Estimates File Name: BingoYieldEstimates.csv</p> </li> </ul>
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| Format: | Dataset biblioteca |
| Published: |
2023
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| Subjects: | Crop and pasture production, Geomatic engineering, Photogrammetry and remote sensing, Citrus Huanglongbing, digital image, crop yield, machine learning, NP301, |
| Online Access: | https://figshare.com/articles/dataset/Data_from_CitDet_a_benchmark_dataset_for_citrus_fruit_detection/24669006 |
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