57,645 Images - Vertical OCR Data in Text Scenes. The collecting scenes of this dataset include street scenes, plaques, billboards, posters, decorations, art lettering, magazine covers etc. The language distribution includes Chinese and a few English. In this dataset, vertical -level rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts; non-vertical rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts. This dataset can be used for tasks such as multiple vertical text scenes OCR.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1226?source=Github
57,645 images, 528,553 bounding boxes
including street scenes, plaques, billboards, posters, decorations, art lettering, magazine covers etc.
multiple scenes, multiple fonts
Chinese, English (a few)
324,399 vertical bounding boxes, 204,154 non-vertical bounding boxes
34,936 rectangular bounding boxes, 220,716 polygonal bounding boxes, 272,901 parallelogram bounding boxes
the image data format is .jpg, the annotation file format is .json
vertical -level rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts; non-vertical rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts
The error bound of each vertex of a bounding box is within 3 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 97%; The texts transcription accuracy is not less than 97%.
Commercial License