Coco-Text Segmentation Dataset


COCO_TS

The COCO_TS dataset provides 14690 pixel–level supervisions for the COCO–Text images. The supervision is obtained from the available bounding–boxes of the COCO–Text dataset exploiting a weakly supervised algorithm. See Implementation for more details.

Term of Use

The annotations in this dataset are licensed under a Creative Commons Attribution 4.0 License.


If you use this dataset for your research, please cite the following paper:


Bonechi, S., Andreini, P., Bianchini, M., & Scarselli, F. (2019, September). COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation. In International Conference on Artificial Neural Networks (pp. 238-250). Springer, Cham.




MLT Segmentation Dataset


MLT_S

The MLT_S contains 6896 (5540 from the training set and 1356 from the validation set) label maps for the MLT images. The supervision is obtained from the available bounding–boxes of the MLT dataset exploiting a weakly supervised algorithm. See Implementation for more details.

Term of Use

The annotations in this dataset are licensed under a Creative Commons Attribution 4.0 License.


If you use this dataset for your research, please cite the following paper:


Bonechi, S., Andreini, P., Bianchini, M., & Scarselli, F. (2019). Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. Pattern Recognition Letters, 2020, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2020.06.023.




Incidental Scene Text Segmentation Dataset


Incidental Scene Text Segmentation

The Incidental Scene Text Segmentation dataset contains 1475 (979 from the training set and 496 from the test set) label maps for the Incidental Scene text images. The supervision is obtained from the available bounding–boxes of the Incidental Scene Text dataset exploiting a weakly supervised algorithm. See Implementation for more details.

Term of Use

The annotations in this dataset are licensed under a Creative Commons Attribution 4.0 License.


If you use this dataset for your research, please cite the following paper:


Bonechi, S., Andreini, P., Bianchini, M., & Scarselli, F. (2019). Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. Pattern Recognition Letters, 2020, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2020.06.023.