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An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation
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| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1871022091002707968 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Access |
| description | |
| discipline_display | Computer Sciience |
| discipline_facet | Computer Sciience |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:104229 |
| institution | FRELIP |
| journal_source_facet | IEEE Access |
| last_indexed | 2026-07-18T03:35:13.371Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation Computer Sciience General Computer Sciience |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Sciience General Computer Sciience |
| subject_facet | Computer Sciience General Computer Sciience |
| title | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_alt | Un marco objetivo-dependiente y reproducible para la evaluación de la calidad de conjuntos de datos de IA: evidencia intra-dominio y entre conjuntos de datos a partir de la segmentación de huellas de edificios Un cadre objectif-dépendant et reproductible pour l'évaluation de la qualité des ensembles de données d'IA : preuves intra-domaine et inter-ensembles à partir de la segmentation d'empreintes de bâtiments Um Framework Objetivo-Dependente e Reprodutível para Avaliação de Qualidade de Conjuntos de Dados de IA: Evidências Intra-domínio e Entre Conjuntos de Dados da Segmentação de Pegadas de Edifícios |
| title_auth | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_es_txt | Un marco objetivo-dependiente y reproducible para la evaluación de la calidad de conjuntos de datos de IA: evidencia intra-dominio y entre conjuntos de datos a partir de la segmentación de huellas de edificios |
| title_fr_txt | Un cadre objectif-dépendant et reproductible pour l'évaluation de la qualité des ensembles de données d'IA : preuves intra-domaine et inter-ensembles à partir de la segmentation d'empreintes de bâtiments |
| title_full | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_fullStr | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_full_unstemmed | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_pt_txt | Um Framework Objetivo-Dependente e Reprodutível para Avaliação de Qualidade de Conjuntos de Dados de IA: Evidências Intra-domínio e Entre Conjuntos de Dados da Segmentação de Pegadas de Edifícios |
| title_short | An Objective-Dependent and Reproducible Framework for AI Dataset Quality Assessment: In-Domain and Cross-Dataset Evidence From Building-Footprint Segmentation |
| title_sort | an objective-dependent and reproducible framework for ai dataset quality assessment: in-domain and cross-dataset evidence from building-footprint segmentation |
| topic | Computer Sciience General Computer Sciience |
| url | http://ieeexplore.ieee.org/document/11600904 |