Download Report IEEE DataPort : UniFGVC - 2025
JSON by Hongyu Guo
Information
Format: JSON Publisher: IEEE DataPort Publication Date of the Electronic Edition: 12/20/2025
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ISBN: 10.21227/71d5-ba92
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Description
We present a dataset of structured textual descriptions for visual categories, aimed at supporting fine-grained visual recognition and multimodal understanding. The dataset emphasizes category-level, discriminative attributes and semantic relations, rather than instance-specific or generic captions. By organizing descriptions in a structured format, it enables effective use as textual priors for retrieval, reasoning, and zero-shot or few-shot recognition, while reducing redundancy and hallucination. The dataset is model-agnostic and can be seamlessly integrated into various vision–language frameworks, facilitating scalable category extension without additional training. This resource provides a practical benchmark for advancing fine-grained classification and multimodal learning.
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