--- license: cc-by-nc-nd-4.0 --- ## Description This dataset is just a sample of 57,645 Images - Vertical OCR Data in Text Scenes(paid dataset). 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 & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/ocr/1226?source=Huggingface ## Data size 57,645 images, 528,553 bounding boxes ## Collecting environment including street scenes, plaques, billboards, posters, decorations, art lettering, magazine covers etc. ## Data diversity multiple scenes, multiple fonts ## Language distribution Chinese, English (a few) ## Bounding box direction distribution 324,399 vertical bounding boxes, 204,154 non-vertical bounding boxes ## Bounding box shape distribution 34,936 rectangular bounding boxes, 220,716 polygonal bounding boxes, 272,901 parallelogram bounding boxes ## Data format the image data format is .jpg, the annotation file format is .json ## Annotation content 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 ## Accuracy 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%. # Licensing Information Commercial License