| _version_ | 1866901646846459904 |
|---|---|
| author | ZEKKOURI, HASSAN |
| author_facet | ZEKKOURI, HASSAN |
| contents | <p>The Moroccan Arts and Crafts Dataset comprises a compilation of images that exhibit typical Moroccan items categorized into 26 classes. This dataset has been meticulously crafted to facilitate Content-Based Image Retrieval (CBIR), classification, and the preservation of cultural heritage.</p> <p>The images and videos in this dataset were obtained from various places in Morocco, emphasizing significant cultural and artistic centers. The dataset comprises artifacts from workshops, museums, local markets, and historical places, guaranteeing a varied depiction of Moroccan workmanship. The pictures were captured under diverse scenarios, utilizing multiple lighting settings, backgrounds, and angles to improve resilience in practical applications.</p> <p>The purpose is image retrieval, object classification, and cultural study. Furthermore, the dataset adheres to open-access protocols and is organized to enable effortless integration with computer vision algorithms. </p> <p>For more visit <a href="https://zehassan.github.io/morart-3k-dataset/" target="_blank" rel="noopener">morart-3k-dataset website</a></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14862418 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MORART-3K: Moroccan Arts and Handicrafts Dataset for Computer Vision Tasks ZEKKOURI, HASSAN content based image retrieval Computer vision Image classification Machine Learning Deep learning <p>The Moroccan Arts and Crafts Dataset comprises a compilation of images that exhibit typical Moroccan items categorized into 26 classes. This dataset has been meticulously crafted to facilitate Content-Based Image Retrieval (CBIR), classification, and the preservation of cultural heritage.</p> <p>The images and videos in this dataset were obtained from various places in Morocco, emphasizing significant cultural and artistic centers. The dataset comprises artifacts from workshops, museums, local markets, and historical places, guaranteeing a varied depiction of Moroccan workmanship. The pictures were captured under diverse scenarios, utilizing multiple lighting settings, backgrounds, and angles to improve resilience in practical applications.</p> <p>The purpose is image retrieval, object classification, and cultural study. Furthermore, the dataset adheres to open-access protocols and is organized to enable effortless integration with computer vision algorithms. </p> <p>For more visit <a href="https://zehassan.github.io/morart-3k-dataset/" target="_blank" rel="noopener">morart-3k-dataset website</a></p> |
| title | MORART-3K: Moroccan Arts and Handicrafts Dataset for Computer Vision Tasks |
| topic | content based image retrieval Computer vision Image classification Machine Learning Deep learning |
| url | https://doi.org/10.5281/zenodo.14862418 |