Ot & Sien, a dataset to help the development of object detection in children's book illustrations

The original dataset is Ot & Sien Dataset (https://lab.kb.nl/dataset/ot-sien-dataset). We corrected mistakes and made it ML-ready.The purpose of this dataset is to help the development of automatic visual object detection in children's book illustrations. The properties of our dataset are summarized as: The dataset consists of illustrations rather than standard photos. 1452 images with 8241 objects (5.7 per image) are annotated including the category and bounding boxes.All images are resized to 416 x 416 with black fitting edges to adapt to the training procedure.The dataset follows a natural long-tail property, with some object categories being rare.The dataset has imbalanced categories.