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Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms
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| Published in: | Plant Phenomics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1864030189226295297 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Plant Phenomics |
| description | |
| discipline_display | Agriculture & Food Sciences |
| discipline_facet | Agriculture & Food Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:10746 |
| institution | FRELIP |
| journal_source_facet | Plant Phenomics |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms AI and Smart Agriculture AI and Smart Agriculture Agriculture & Food Sciences |
| sub_discipline_display | AI and Smart Agriculture |
| sub_discipline_facet | AI and Smart Agriculture |
| subject_display | AI and Smart Agriculture AI and Smart Agriculture Agriculture & Food Sciences AI and Smart Agriculture AI and Smart Agriculture Agriculture & Food Sciences |
| subject_facet | AI and Smart Agriculture AI and Smart Agriculture Agriculture & Food Sciences |
| title | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_auth | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_full | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_fullStr | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_full_unstemmed | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_short | Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms |
| title_sort | global rice multiclass segmentation dataset (riceseg): comprehensive and diverse high-resolution rgb-annotated images for the development and benchmarking of rice segmentation algorithms |
| topic | AI and Smart Agriculture AI and Smart Agriculture Agriculture & Food Sciences |
| url | https://www.sciopen.com/article/10.1016/j.plaphe.2025.100099 |