V3Det: Vast Vocabulary Visual Detection Dataset

by   Jiaqi Wang, et al.

Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary. To facilitate the development of more general visual object detection, we propose V3Det, a vast vocabulary visual detection dataset with precisely annotated bounding boxes on massive images. V3Det has several appealing properties: 1) Vast Vocabulary: It contains bounding boxes of objects from 13,029 categories on real-world images, which is 10 times larger than the existing large vocabulary object detection dataset, e.g., LVIS. 2) Hierarchical Category Organization: The vast vocabulary of V3Det is organized by a hierarchical category tree which annotates the inclusion relationship among categories, encouraging the exploration of category relationships in vast and open vocabulary object detection. 3) Rich Annotations: V3Det comprises precisely annotated objects in 245k images and professional descriptions of each category written by human experts and a powerful chatbot. By offering a vast exploration space, V3Det enables extensive benchmarks on both vast and open vocabulary object detection, leading to new observations, practices, and insights for future research. It has the potential to serve as a cornerstone dataset for developing more general visual perception systems.


page 1

page 4

page 14

page 17

page 18

page 19


Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection

Point cloud-based open-vocabulary 3D object detection aims to detect 3D ...

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Recent advances in modeling 3D objects mostly rely on synthetic datasets...

Objaverse: A Universe of Annotated 3D Objects

Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebIm...

Marine Microalgae Detection in Microscopy Images: A New Dataset

Marine microalgae are widespread in the ocean and play a crucial role in...

IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents

We introduce a new dataset for graphical object detection in business do...

Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection

Scaling object taxonomies is one of the important steps toward a robust ...

Please sign up or login with your details

Forgot password? Click here to reset