Images and YOLO-format bounding box annotations for common stationery items. The dataset is hosted on Kaggle. The author, organization, and last update date are unknown.
Use Cases
- Train object detection models based on the provided bounding box annotations.
- Benchmark model performance on a stationery-specific dataset.
- Develop educational tools for computer vision based on annotated common objects.
- Create synthetic datasets by augmenting the provided images and annotations.
Strengths
- Dataset includes bounding box annotations in a widely-used YOLO format.
- Focuses on a specific domain of common stationery items.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.