Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A high precision YOLO model for surface defect detection based on PyConv and CISBA. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-high-precision-yolo-model-for-surface-defect-detection-based-on-pyconv-and-cisba
MLA“A high precision YOLO model for surface defect detection based on PyConv and CISBA.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-high-precision-yolo-model-for-surface-defect-detection-based-on-pyconv-and-cisba.
BibTeX@misc{4ortxyz_a-high-precision-yolo-model-for-surface-defect-detection-based-on-pyconv-and-cisba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A high precision YOLO model for surface defect detection based on PyConv and CISBA}}, year = {2026}, url = {https://4ort.xyz/entity/a-high-precision-yolo-model-for-surface-defect-detection-based-on-pyconv-and-cisba}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A high precision YOLO model for surface defect detection based on PyConv and CISBA — https://4ort.xyz/entity/a-high-precision-yolo-model-for-surface-defect-detection-based-on-pyconv-and-cisba (retrieved 2026-05-24)
