MF-ID

This is a part of the Cityintrusion-Multicategory dataset for testing and training the network. This dataset contains 2502 training images and 429 validation images. Because our task is a joint task of segmentation and detection. Therefore, we provide the two different sub-dataset for segmentation and detection, respectively. In the seg folder, we provide the original images for training and validation. Besides, the corresponding labels also are provided. Training and validation have 2502 and 429, respectively. In the det folder, we also provide the original images and labels, as the same as seg, training and validation have 2502 and 429, respectively. it is worth noting that our det sub-dataset is in YOLO format to accommodate the needs of our MF-YOLOV5 framework. The full dataset can be downloaded from this website: https://pan.baidu.com/s/1IK3sl-yXa8TVcJ9TxJajrA?pwd=u7c4 and our code can be found in this website: https://github.com/1012537710/MF-ID.

这是Cityintrusion-Multicategory数据集的一部分，用于网络的训练与测试。该数据集包含2502张训练图像和429张验证图像。由于我们的任务是分割（Segmentation）与检测（Detection）的联合任务，因此我们分别提供了针对分割和检测的两个不同子数据集。在seg文件夹中，我们提供了用于训练和验证的原始图像。此外，还提供了对应的标签；训练集和验证集的标签数量分别为2502和429。在det文件夹中，我们同样提供了原始图像和标签，与seg文件夹一致，训练集和验证集的数量分别为2502和429。值得注意的是，我们的det子数据集采用YOLO格式，以适配MF-YOLOV5框架的需求。完整数据集可从以下链接下载：https://pan.baidu.com/s/1IK3sl-yXa8TVcJ9TxJajrA?pwd=u7c4；我们的代码可在以下链接获取：https://github.com/1012537710/MF-ID。