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--- |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- object-detection |
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language: |
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- en |
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tags: |
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- Table |
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- Unstructured Document |
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- YOLOv8 |
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- Object Detection |
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- Table Detection |
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pretty_name: TableDetectionNet |
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--- |
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# Table Detection in Document Images using YOLOv8 |
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The Table Detection YOLO dataset is a collection of document images annotated with table bounding boxes suitable for \ |
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training object detection models, specifically using the YOLOv8 (You Only Look Once) architecture. The dataset is intended \ |
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for developing and evaluating table detection algorithms within the field of document analysis and recognition. The \ |
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annotations define the locations of tables within a variety of document images, which can range from scanned documents to \ |
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digital PDFs. |
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### Dataset Labels |
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```json |
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['table'] |
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``` |
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### Number of Images |
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```json |
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{"train": 815, "valid": 152, "test": 52} |
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``` |
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### Getting Started |
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