SEE-AI dataset

该数据集是一个广受欢迎的无线胶囊内窥镜数据集，它被用来评估色彩校正对病理检测的影响。此外，该数据集还用于分析不同的色彩校正方案对检测性能指标的影响，这些指标包括F1分数、交并比（IoU）以及平均精度（AP）。该任务主要聚焦于利用深度学习技术进行无线胶囊内窥镜中的病理检测。

This is a widely recognized wireless capsule endoscopy dataset, which is used to assess the impact of color correction on pathological detection. Moreover, this dataset is applied to analyze the effects of different color correction schemes on key detection performance metrics, including F1-score, Intersection over Union (IoU), and Average Precision (AP). The task primarily focuses on leveraging deep learning technologies for pathological detection in wireless capsule endoscopy.