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| Natura: | Recurso digital |
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Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.15739173 |
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| _version_ | 1866901588303413248 |
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| author | Schulenburg, Suzette |
| author_facet | Schulenburg, Suzette |
| contents | <p>This dataset contains high-resolution, side-view images of Simmental cattle collected on farms across South Africa. The dataset was developed as part of a research project investigating the use of machine learning to automatically classify cattle as having <strong>good</strong> or <strong>bad</strong> body conformation, based on breed standards and expert ratings.</p> <p>The images were captured using a Canon EOS 4000D camera, ensuring consistency in angle and quality. Each image has been manually labeled as either “Good” or “Bad” according to visual assessments conducted by trained evaluators, including international Simmental judges. Images where animals were walking, obstructed, or not in full profile were excluded to maintain dataset quality.</p> <p>The dataset has been used for training and evaluating deep learning models in the research titled <em>“</em><strong>Classification</strong><strong> of Simmental Cattle Based on Body </strong><strong>Conformation Using Machine Learning.</strong><em>”.</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15739173 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Simmental Cattle Schulenburg, Suzette <p>This dataset contains high-resolution, side-view images of Simmental cattle collected on farms across South Africa. The dataset was developed as part of a research project investigating the use of machine learning to automatically classify cattle as having <strong>good</strong> or <strong>bad</strong> body conformation, based on breed standards and expert ratings.</p> <p>The images were captured using a Canon EOS 4000D camera, ensuring consistency in angle and quality. Each image has been manually labeled as either “Good” or “Bad” according to visual assessments conducted by trained evaluators, including international Simmental judges. Images where animals were walking, obstructed, or not in full profile were excluded to maintain dataset quality.</p> <p>The dataset has been used for training and evaluating deep learning models in the research titled <em>“</em><strong>Classification</strong><strong> of Simmental Cattle Based on Body </strong><strong>Conformation Using Machine Learning.</strong><em>”.</em></p> |
| title | Simmental Cattle |
| url | https://doi.org/10.5281/zenodo.15739173 |