Cleanlab/object-detection-tutorial

该数据集包含用于cleanlab教程的对象检测标注和预测数据，展示了如何使用cleanlab识别和纠正对象检测数据集中的标签问题。数据集包含118张带有边界框标注的图像，以及模型预测结果。数据集的设计目的是为了教育用途，展示cleanlab在检测对象检测数据集问题（如错误标注的边界框、缺失的标注、低质量的预测和标注不一致等）方面的能力。

This dataset contains object detection annotations and predictions used in the cleanlab tutorial, demonstrating how to use cleanlab to identify and correct label issues in object detection datasets. The dataset includes 118 images with bounding box annotations and model predictions. It is designed for educational purposes to showcase cleanlabs capabilities in detecting issues in object detection datasets, such as incorrectly labeled bounding boxes, missing annotations, poor quality predictions, and annotation inconsistencies.