yunusserhat/TextOCR-Dataset

TextOCR Dataset

Version 0.1

Training Set

• Word Annotations: 714,770 (272MB)
• Images: 21,778 (6.6GB)

Validation Set

• Word Annotations: 107,802 (39MB)
• Images: 3,124

Test Set

• Metadata: 1MB
• Images: 3,232 (926MB)

General Information

• License: Data is available under CC BY 4.0 license.
• Important Note: Numbers in the papers should be reported on the v0.1 test set.

Images

• Training and validation set images are sourced from the OpenImages train set, while test set images come from the OpenImages test set.
• Validation set's images are contained in the zip for the training set's images.
• Note: Some images in OpenImages are rotated; please check the Rotation field in the Image IDs files for train and test.

Dataset Format

The JSON format mostly follows COCO-Text v2, except the "mask" field in "anns" is named as "points" for the polygon annotation.

Details

• Points: A list of 2D coordinates like [x1, y1, x2, y2, ...]. Note that (x1, y1) is always the top-left corner of the text (in its own orientation), and the order of the points is clockwise.
• BBox: Contains a horizontal box converted from "points" for convenience, and "area" is computed based on the width and height of the "bbox".
• Annotation: In cases when the text is illegible or not in English, the polygon is annotated normally but the word will be annotated as a single "." symbol. Annotations are case-sensitive and can include punctuation.

Annotation Details

• Annotators were instructed to draw exactly 4 points (quadrilaterals) whenever possible, and only draw more than 4 points when necessary (for cases like curved text).

Relationship with TextVQA/TextCaps

• The image IDs in TextOCR match the IDs in TextVQA.
• The train/val/test splits are the same as TextVQA/TextCaps. However, due to privacy reasons, we removed 274 images from TextVQA while creating TextOCR.

TextOCR JSON Files Example

{
  "imgs": {
    "OpenImages_ImageID_1": {
      "id": "OpenImages_ImageID_1",
      "width": "INT, Width of the image",
      "height": "INT, Height of the image",
      "set": "Split train|val|test",
      "filename": "train|test/OpenImages_ImageID_1.jpg"
    },
    "OpenImages_ImageID_2": {
      "..."
    }
  },
  "anns": {
    "OpenImages_ImageID_1_1": {
      "id": "STR, OpenImages_ImageID_1_1, Specifies the nth annotation for an image",
      "image_id": "OpenImages_ImageID_1",
      "bbox": [
        "FLOAT x1",
        "FLOAT y1",
        "FLOAT x2",
        "FLOAT y2"
      ],
      "points": [
        "FLOAT x1",
        "FLOAT y1",
        "FLOAT x2",
        "FLOAT y2",
        "...",
        "FLOAT xN",
        "FLOAT yN"
      ],
      "utf8_string": "text for this annotation",
      "area": "FLOAT, area of this box"
    },
    "OpenImages_ImageID_1_2": {
      "..."
    }
  },
  "img2Anns": {
    "OpenImages_ImageID_1": [
      "OpenImages_ImageID_1_1",
      "OpenImages_ImageID_1_2",
      "OpenImages_ImageID_1_2"
    ],
    "OpenImages_ImageID_N": [
      "..."
    ]
  }
}