TJU stands for Tianjin University, and DHD stands for diverse high-resolution dataset. TJU-DHD is a high-resolution dataset for object detection and pedestrian detection, containing 115,354 high-resolution images (52% images have a resolution of 1624×1200 pixels, and 48% images have a resolution of at least 2,560×1,440 pixels), and 709,330 labeled objects with huge differences in shape and appearance. At the same time, the dataset also provides rich and diverse images in terms of seasonal changes, lighting changes, and weather changes.