DGTA-VisDrone
收藏arXiv2025-09-30 收录
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https://github.com/eisbaer8/deepgtav
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资源简介：
该数据集名为DGTA-VisDrone，用于进行物体检测实验，比较了合成图像与真实世界图像之间的差异。该数据集包含了多种模型进行基准测试，例如ResNeXt-101和YOLOv5，任务主要集中在物体检测领域。
This dataset, named DGTA-VisDrone, is designed for object detection experiments that compare the differences between synthetic images and real-world images. Multiple models are included as baselines for benchmarking on this dataset, such as ResNeXt-101 and YOLOv5, with the tasks primarily focused on the domain of object detection.
