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资源简介：
Tracking methods in bio-imaging.
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创建时间：
2021-10-08
相关数据集
Synthetic data generated in Unreal Engine 4
Dataset generated with Unreal Engine 4 and Nvidia NDDS. Contains 1500 images of each object: Forklift, pallet, shipping container, barrel, human, paper box, crate and fence.
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Ablation experimental results on visdrone.
With the widespread use of UAVs, UAV aerial image target detection technology can be used for practical applications in the military, traffic planning, personnel search and rescue and other fields. In
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Performance comparison of YOLOv5n and its enhanced versions incorporating the SSFF, MSFE, and ESTDL modules across object sizes.
Performance comparison of YOLOv5n and its enhanced versions incorporating the SSFF, MSFE, and ESTDL modules across object sizes.
Figshare2025-10-08 更新50
Comparison of the proposed method with Faster- RCNN, Retinanet, SSD, YOLOV3, YOLOV5, and YOLOX on the same dataset for each metric.
Comparison of the proposed method with Faster- RCNN, Retinanet, SSD, YOLOV3, YOLOV5, and YOLOX on the same dataset for each metric.
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yolo_seg_labeled_data_for_small_toycar
该数据集是一个用于小型遥控/玩具汽车的自动驾驶YOLO目标检测数据集。它包含了在停车场和赛道驾驶环境中捕获的图像的边界框标注。数据集由4个子集组成，总计约75,000张图像，每个子集都包含训练集、验证集和测试集，并以tar.gz压缩包形式提供。子集包括'parking_front'（前停车场环境，10,719张图像，3个类别）、'parking_rear'（后停车场环境，5,639张图像，3个类别
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