Macao-ebird: A Curated Dataset for Artificial-Intelligence-Powered Bird Surveillance and Conservation in Macao

• Published in: Data (Basel) Vol. 10; no. 6; p. 84
• Main Authors: Huang, Xiaoyuan, Mirri, Silvia, Tang, Su-Kit
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2025
• Subjects: Accuracy; Annotations; Artificial intelligence; Biodiversity; Bird migration; Birds, Protection of; classification; Climate change; Conservation; Crowdsourcing; Datasets; detection; Endangered & extinct species; endangered bird; Endangered species; grounding DINO; Labeling; Localization; Macao-ebird dataset; Machine learning; Object recognition; Ornithology; R&D; Research & development; Taxonomy; Technology application; Urban environments; Wildlife conservation; YOLO; China; Macao

Artificial intelligence (AI) currently exhibits considerable potential within the realm of biodiversity conservation. However, high-quality regionally customized datasets remain scarce, particularly within urban environments. The existing large-scale bird image datasets often lack a dedicated focus...