The official MJU-Waste dataset repository.
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 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.
[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.