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MJU-Waste v1.0

The official MJU-Waste dataset repository.

Paper

Please cite the following paper if you decide to use this dataset:

Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye. A Multi-Level Approach to Waste Object Segmentation. Sensors 2020, 20(14), 3816.

Download

Download the MJU-Waste dataset:

https://drive.google.com/file/d/1o101UBJGeeMPpI-DSY6oh-tLk9AHXMny/view?usp=sharing

The dataset is provided in PASCAL VOC [1] format. Object instance annotations in COCO [2] format are also available.

References

[1] Everingham, M., Van Gool, L., Williams, C. K., Winn, J., & Zisserman, A. (2010). The pascal visual object classes (voc) challenge. International journal of computer vision, 88(2), 303-338.

[2] Lin, T. Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., ... & Zitnick, C. L. (2014, September). Microsoft coco: Common objects in context. In European conference on computer vision (pp. 740-755). Springer, Cham.