CDFSOD-benchmark Cross-domain Small Sample Object Detection Benchmark Dataset

* This dataset supports online use.Click here to jump.

CDFSOD-benchmark is a research project focusing on cross-domain few-shot object detection (CD-FSOD). It was released by the research team of Beijing University of Aeronautics and Astronautics and iFlytek in 2024. The related paper results are "Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector", has been accepted by ECCV24. This project aims to solve the problem of small-sample object detection when there is a significant domain difference between the source domain and the target domain. It includes a dataset for algorithm evaluation, as well as style, inter-class variance (ICV), and indefinable boundaries (IB) for measuring domain differences.