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School Notebooks Dataset

The images of school notebooks with handwritten notes in Russian.

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.

Annotation format

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.
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