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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17518455 |
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| _version_ | 1866901429936979968 |
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| author | Wang, Bo |
| author_facet | Wang, Bo |
| contents | <p>The dataset was generated during the development of the <strong>FHA-MTT algorithm</strong>, which aims to enable automated health assessment of fish based on swimming behavior. It includes video recordings of <strong>crucian carp (Carassius auratus)</strong> exhibiting both healthy and diseased states, together with <strong>annotation files</strong> used for training object detection and keypoint recognition models. In addition, the dataset contains <strong>tracking results</strong> produced by different multi-object tracking algorithms.</p> <p> FHA-MTT integrates object and keypoint detection with trajectory-based behavioral analysis, providing an efficient and reliable framework for evaluating the health status of fish in aquaculture environments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17518455 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | FHA-MTT_data Wang, Bo <p>The dataset was generated during the development of the <strong>FHA-MTT algorithm</strong>, which aims to enable automated health assessment of fish based on swimming behavior. It includes video recordings of <strong>crucian carp (Carassius auratus)</strong> exhibiting both healthy and diseased states, together with <strong>annotation files</strong> used for training object detection and keypoint recognition models. In addition, the dataset contains <strong>tracking results</strong> produced by different multi-object tracking algorithms.</p> <p> FHA-MTT integrates object and keypoint detection with trajectory-based behavioral analysis, providing an efficient and reliable framework for evaluating the health status of fish in aquaculture environments.</p> |
| title | FHA-MTT_data |
| url | https://doi.org/10.5281/zenodo.17518455 |