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Table Detection in Document Images using YOLOv8
The Table Detection YOLO dataset is a collection of document images annotated with table bounding boxes suitable for
training object detection models, specifically using the YOLOv8 (You Only Look Once) architecture. The dataset is intended
for developing and evaluating table detection algorithms within the field of document analysis and recognition. The
annotations define the locations of tables within a variety of document images, which can range from scanned documents to
digital PDFs.
Dataset Labels
['table']
Number of Images
{"train": 815, "valid": 152, "test": 52}
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