ai-forever/ReadingPipeline-notebooks
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The images of school notebooks with handwritten notes in English.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
The annotation is in COCO format. The annotation.json
should have the following dictionaries:
annotation["categories"]
- a list of dicts with a categories info (categotiy names and indexes).annotation["images"]
- a list of dictionaries with a description of images, each dictionary must contain fields:file_name
- name of the image file.id
for image id.annotation["annotations"]
- a list of dictioraties with a murkup information. Each dictionary stores a description for one polygon from the dataset, and must contain the following fields:image_id
- the index of the image on which the polygon is located.category_id
- the polygon’s category index.attributes
- dict with some additional annotation information. In the translation
subdict you can find text translation for the line.segmentation
- the coordinates of the polygon, a list of numbers - which are coordinate pairs x and y.