Natural Scene and Document OCR Image Corpus(10 Countries)
This dataset consists of french, german, italian, spanish, portuguese, japanese, korean, russian, chinese, and english datasets, total of 10 languages of natural scenes and document categories, total of 44,821 images.
This dataset consists of 9 categories and a total of 15385 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Portugal, and all the images in the dataset include labeling results.
This dataset consists of 11 categories and a total of 1013 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Portugal, and all the images in the dataset include labeling results.
This dataset consists of 11 categories and a total of 1000 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Russia, and all the images in the dataset include labeling results.
This dataset consists of 11 categories and a total of 1110 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Slovakia, and all the images in the dataset include labeling results.
This dataset consists of 9 categories and a total of 15126 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Spain, and all the images in the dataset include labeling results
This dataset consists of 10 categories and a total of 1061 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Spain, and all the images in the dataset include labeling results.
This dataset consists of 11 categories and a total of 1493 printed images, covering most commonly encountered scenarios in daily life. The data was collected in India, and all the images in the dataset include labeling results.
This dataset consists of 9 categories and a total of 13882 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Thailand, and all the images in the dataset include labeling results.
