Helmet image data for risk and safety monitoring in port environments
Fuente:
Zenodo
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Pubblicazione: |
Zenodo
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866902208176455680 |
|---|---|
| author | Benítez, Ignacio |
| author_facet | Benítez, Ignacio |
| contents | <p>This repository contains training, testing, and validation data to train vision models to monitor helmet usage for ocupational safety in ports. The data is provided with assigned splits, and labels are provided in YOLO format, and images are provided with Data Augmentation already applied to them.</p> <p><strong>Helmet (2 class)</strong></p> <table style="border-collapse: collapse; width: 100.063%;"><colgroup><col style="width: 50.0316%;"><col style="width: 50.0316%;"></colgroup> <tbody> <tr> <td><strong>Split</strong></td> <td><strong>Size</strong></td> </tr> <tr> <td>Train</td> <td>15490</td> </tr> <tr> <td>Test</td> <td>615</td> </tr> <tr> <td>Validate</td> <td>1171</td> </tr> </tbody> </table> <p> </p> <p>This dataset contains data originally published under a CC-BY 4.0 License which is credited below:</p> <div> <div>Author: Ignacio Benítez</div> Affiliation: Secmotic Innovatin S.L.</div> <p>Credits: Model trained based on the next roboflow dataset, completed with other partial datasets:<br> license: CC BY 4.0</p> <div> url: <a href="https://universe.roboflow.com/dataset-bfndu/ppe-detection-using-cv-metiz/dataset/3">https://universe.roboflow.com/dataset-bfndu/ppe-detection-using-cv-metiz/dataset/3</a></div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17698258 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Helmet image data for risk and safety monitoring in port environments Benítez, Ignacio Industrial safety Supervised learning <p>This repository contains training, testing, and validation data to train vision models to monitor helmet usage for ocupational safety in ports. The data is provided with assigned splits, and labels are provided in YOLO format, and images are provided with Data Augmentation already applied to them.</p> <p><strong>Helmet (2 class)</strong></p> <table style="border-collapse: collapse; width: 100.063%;"><colgroup><col style="width: 50.0316%;"><col style="width: 50.0316%;"></colgroup> <tbody> <tr> <td><strong>Split</strong></td> <td><strong>Size</strong></td> </tr> <tr> <td>Train</td> <td>15490</td> </tr> <tr> <td>Test</td> <td>615</td> </tr> <tr> <td>Validate</td> <td>1171</td> </tr> </tbody> </table> <p> </p> <p>This dataset contains data originally published under a CC-BY 4.0 License which is credited below:</p> <div> <div>Author: Ignacio Benítez</div> Affiliation: Secmotic Innovatin S.L.</div> <p>Credits: Model trained based on the next roboflow dataset, completed with other partial datasets:<br> license: CC BY 4.0</p> <div> url: <a href="https://universe.roboflow.com/dataset-bfndu/ppe-detection-using-cv-metiz/dataset/3">https://universe.roboflow.com/dataset-bfndu/ppe-detection-using-cv-metiz/dataset/3</a></div> |
| title | Helmet image data for risk and safety monitoring in port environments |
| topic | Industrial safety Supervised learning |
| url | https://doi.org/10.5281/zenodo.17698258 |