SODA-D

Dataset Information
Modalities
Images
Languages
English
Introduced
2022
Homepage

Overview

SODA-D is a large-scale dataset tailored for small object detection in driving scenario, which is built on top of MVD dataset and owned data, where the former is a dataset dedicated to pixel-level understanding of street scenes, and the latter is mainly captured by onboard cameras and mobile phones. With 24704 well-chosen and high-quality images of driving scenarios, SODA-D comprises 277596 instances of 9 categories with horizontal bounding boxes.

Variants: SODA-D

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Small Object Detection CFINet Small Object Detection via Coarse-to-fine … 2023-08-18

Research Papers

Recent papers with results on this dataset: