Software & Data Downloads — Open Vocabulary Attribute Detection Dataset

Open Vocabulary Attribute Detection Dataset for training and testing attribute detection comprehensively.


Current detection datasets usually contain various object annotations. Compared to that, there are few detection dataset contains attribute annotations, which is also important for the task of detection. To address this gap, we propose a novel attribute dataset, OVAD, to support training and testing attribute detection comprehensively. OVAD builds on the [nuScenes](https://www.nuscenes.org/nuscenes) dataset (license: CC BY-NC-SA 4.0), supplementing it with detailed attribute annotations capturing spatial relationships, motion states, and interactions between objects. It is useful for developing and evaluating systems needing to know complex scene dynamics.

To encourage more follow up works on Open Vocabulary Attribute Detection, we are publicly releasing the dataset split used in our paper ("Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes" by Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones, Jiawei Zhang, BMVC 2025).